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integration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Barzaghi, Sebastian;Barzaghi, Sebastian;A series of Python scripts that have been used to process the documents in the National Edition of Aldo Moro's works. In particular, the scripts are: recast.py, for refactoring the documents code, correcting possible errors, normalizing and finalizing resource URIs, and so on; TEIfy.py, for generating TEI documents from the HTML code. The TEI structure imitates the source code as closely as possible, and in addition integrates bibliographic metadata in the document header as well; PDFfy.py, for generating PDF documents from the HTML code. The PDF pagination and visualization is regulated by a CSS stylesheet (stylesheet.css); generate.py, for converting metadata into semantic statements collected in a knowledge base and organized on the basis of the standards defined in the data modelling phase; align.py, for integrating document markup in the knowledge base; main.py, for gathering and managing the functions defined in the other scripts; utils.py, for choosing which script to run and in which local directory. To start the program, run `python main.py` in the command prompt, then select the function you want to run and the directory you intend to use. You will either need a `config.json` file containing some variables in order to make it work (such as your local paths and names of the directories), or write them directly into the code as variables.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5592470&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 68visibility views 68 download downloads 6 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5592470&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Giovanni Spitale; Federico Germani; Nikola Biller - Andorno;Giovanni Spitale; Federico Germani; Nikola Biller - Andorno;The purpose of this tool is performing NLP analysis on Telegram chats. Telegram chats can be exported as .json files from the official client, Telegram Desktop (v. 2.9.2.0). The files are parsed, the content is used to populate a message dataframe, which is then anonymized. The software calculates and displays the following information: user count (n of users, new users per day, removed users per day); message count (n and relative frequency of messages, messages per day); autocoded messages (anonymized message dataframe with code weights assigned to each message based on a customizable set of regex rules); prevalence of codes (n and relative frequency); prevalence of lemmas (n and relative frequency); prevalence of lemmas segmented by autocode (n and relative frequency); mean sentiment per day; mean sentiment segmented by autocode. The software outputs: messages_df_anon.csv - an anonymized file containing the progressive id of the message, the date, the univocal pseudonym of the sender, and the text; usercount_df.csv - user count dataframe; user_activity_df.csv - user activity dataframe; messagecount_df.csv - message count dataframe; messages_df_anon_coded.csv - an anonymized file containing the progressive id of the message, the date, the univocal pseudonym of the sender, the text, the codes, and the sentiment; autocode_freq_df.csv - general prevalence of codes; lemma_df.csv - lemma frequency; autocode_freq_df_[rule_name].csv - lemma frequency in coded messages, one file per rule; daily_sentiment_df.csv - daily sentiment; sentiment_by_code_df.csv - sentiment segmented by code; messages_anon.txt - anonymized text file generated from the message data frame, for easy import in other software for text mining or qualitative analysis; messages_anon_MaxQDA.txt - anonymized text file generated from the message data frame, formatted specifically for MaxQDA (to track speakers and codes). Dependencies: pandas (1.2.1) json random os re tqdm (4.62.2) datetime (4.3) matplotlib (3.4.3) Spacy (3.1.2) + it_core_news_md wordcloud (1.8.1) Counter feel_it (1.0.3) torch (1.9.0) numpy (1.21.1) transformers (4.3.3) This code is optimized for Italian, however: Lemma analysis is based on spaCy, which provides several other models for other languages ( https://spacy.io/models ) so it can easily be adapted. Sentiment analysis is performed using FEEL-IT: Emotion and Sentiment Classification for the Italian Language (Kudos to Federico Bianchi <f.bianchi@unibocconi.it>; Debora Nozza <debora.nozza@unibocconi.it>; and Dirk Hovy <dirk.hovy@unibocconi.it>). Their work is specific for Italian. To perform sentiment analysis in other languages one could consider nltk.sentiment The code is structured in a Jupyter-lab notebook, heavily commented for future reference. The software comes with a toy dataset comprised of Wikiquotes copy-pasted in a chat created by the research group. Have fun exploring it. {"references": ["Bianchi F, Nozza D, Hovy D. FEEL-IT: Emotion and Sentiment Classification for the Italian Language. In: Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics; 2021. https://github.com/MilaNLProc/feel-it"]}
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 413visibility views 413 download downloads 20 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5533906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Horton, Laurence;Horton, Laurence;Code for checking the status of URL links in the dataset: Horton, Laurence (2018). UK Higher Education Institution Research Data Management Policies, 2009-2016. [Data Collection]. Colchester, Essex: UK Data Archive. https://doi.org/10.5255/UKDA-SN-851566 {"references": ["Horton, Laurence (2018). UK Higher Education Institution Research Data Management Policies, 2009-2016. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-851566"]}
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5392197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 48visibility views 48 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5392197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Funded by:UKRI | ARTICT | Art Through the ..., EC | SSHOC, UKRI | Persistent Identifiers as... +1 projectsUKRI| ARTICT | Art Through the ICT Lens: Big Data Processing Tools to Support the Technical Study, Preservation and Conservation of Old Master Paintings ,EC| SSHOC ,UKRI| Persistent Identifiers as IRO Infrastructure ,UKRI| Practical applications of IIIF as a building block towards a digital National CollectionAuthors: Joseph Padfield;Joseph Padfield;This is a simple set of processes for creating a standard set of webpages based on a simple set of json files. This project is intended to work along side other projects to provide a simple way of creating a set of consistent webpages, which can be delivered as part of your own GitHub project using GitHub pages. It has been extended to allow more complex features such as presenting IIIIF (https://iiif.io) viewers, Timelines, and ordered Lists & Galleries. Various updates to the related JavaScript libraries have been added along with an option to use the whole system to create dynamic as well as static websites. For more detail and the most current version of the code see: https://github.com/jpadfield/simple-site
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4504844&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 140visibility views 140 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4504844&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Tobias Hey; Fei Chen; Sebastian Weigelt; Walter F. Tichy;Tobias Hey; Fei Chen; Sebastian Weigelt; Walter F. Tichy;This is the supplementary material of the paper "Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations". In this paper, we explore the performance of word embedding-based fine-grained requirements-to-code relations in automated traceability link recovery. The repository includes the code as well as the datasets used. To fully enable the potential of a word embedding based approach, we translated the identifier in two datasets (SMOS and eTour) to match the prevalent language. Attribution (of datasets used): The original SMOS and eAnci datasets can be attributed to Gethers et al., On integrating orthogonal information retrieval methods to improve traceability recovery. In 2011 27th IEEE International Conference on Software Maintenance (ICSM), Sep. 2011. Available: https://doi.org/10.1109/ICSM.2011.6080780 The original eTour dataset was provided for the TEFSE challenge at 6th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE), 2011 and was retrieved from http://coest.org/
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5449353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 100visibility views 100 download downloads 15 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5449353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Mahmud, Junayed; Faisal, Fahim; Islam Arnob, Raihan; Anastasopoulos, Antonios; Moran, Kevin;This Zenodo repository contains the code, data, and replication package for our paper entitled "Code to Comment Translation: An Empirical Study on Model Effectiveness and Errors".
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4904024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 120visibility views 120 download downloads 71 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4904024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Pachankis, Yang I.;Pachankis, Yang I.;This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5–26555. This research is based on observations made with the Galaxy Evolution Explorer (GALEX) satellite, a NASA mission led by the California Institute of Technology, obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5–26555. The scientific results reported in this article are based [in part] on observations made by the Chandra X-ray Observatory. This work is based [in part] on observations made with the Spitzer Space Telescope, which was operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. The observations are performed on Harvard-Smithsonian Micro-observatory, and the data of this upload are processed by SAOImage DS9 MacOS. The set of imaging plate analysis served as orbital and trajectory analysis in relation to the angular momenta of the observations. Cyber-based targeting and intrusion were experienced during the experiment and analysis, with specific mocks on the contours with male genital. The ZScales served for the extra dimension analysis on the antimatter induction on the theoretical Van Der Waals Force in antimatter electromagnetism.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7187733&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 22visibility views 22 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Barzaghi, Sebastian;Barzaghi, Sebastian;This work aims to define a series of reference models that would serve as a guide to the design and development of the National Edition of Aldo Moro's works. These models have been defined through a benchmarking process that is organized as follows: content analysis on a sample of 30 digital editions, evaluated on the basis of certain criteria defined in [Sahle 2014]; processing of the data gathered as a result of the content analysis, so as to extract the relevant information, and visualize it; review of the data processing results and consideration of the models that can be used as reference. The digital editions that meet the quality criteria taken into consideration are equipped with the following characteristics: their audience is composed of both domain experts and generic users; their documentation is rich and accurate; their content is described by a complete set of metadata; they and their single parts are citable and uniquely identifiable; their data model is geared towards interoperability and interlinking between its contents and the relevant resources already existing on the Web; they use visualization and storytelling tools so as to convey information intuitively; their information architecture is well-structured and easily navigated; their data and contents can be downloaded in many different formats; they take advantage of Open Source software and tools; finally, their contents are open and accessible to anyone.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779138&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 106visibility views 106 download downloads 15 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779138&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Barzaghi, Sebastian;Barzaghi, Sebastian;This work aims to define a series of reference models that would serve as a guide to the design and development of the National Edition of Aldo Moro's works. These models have been defined through a benchmarking process that is organized as follows: content analysis on a sample of 30 digital editions, evaluated on the basis of certain criteria defined in [Sahle 2014]; processing of the data gathered as a result of the content analysis, so as to extract the relevant information, and visualize it; review of the data processing results and consideration of the models that can be used as reference. The digital editions that meet the quality criteria taken into consideration are equipped with the following characteristics: their audience is composed of both domain experts and generic users; their documentation is rich and accurate; their content is described by a complete set of metadata; they and their single parts are citable and uniquely identifiable; their data model is geared towards interoperability and interlinking between its contents and the relevant resources already existing on the Web; they use visualization and storytelling tools so as to convey information intuitively; their information architecture is well-structured and easily navigated; their data and contents can be downloaded in many different formats; they take advantage of Open Source software and tools; finally, their contents are open and accessible to anyone.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779139&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 22visibility views 22 download downloads 6 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Cabanac, Guillaume; Labbé, Cyril;Cabanac, Guillaume; Labbé, Cyril;research integrity publishing industry misconduct retraction computer-generated papers SCIgen nonsense detection citation manipulation
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4729758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 220visibility views 220 download downloads 27 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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integration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Barzaghi, Sebastian;Barzaghi, Sebastian;A series of Python scripts that have been used to process the documents in the National Edition of Aldo Moro's works. In particular, the scripts are: recast.py, for refactoring the documents code, correcting possible errors, normalizing and finalizing resource URIs, and so on; TEIfy.py, for generating TEI documents from the HTML code. The TEI structure imitates the source code as closely as possible, and in addition integrates bibliographic metadata in the document header as well; PDFfy.py, for generating PDF documents from the HTML code. The PDF pagination and visualization is regulated by a CSS stylesheet (stylesheet.css); generate.py, for converting metadata into semantic statements collected in a knowledge base and organized on the basis of the standards defined in the data modelling phase; align.py, for integrating document markup in the knowledge base; main.py, for gathering and managing the functions defined in the other scripts; utils.py, for choosing which script to run and in which local directory. To start the program, run `python main.py` in the command prompt, then select the function you want to run and the directory you intend to use. You will either need a `config.json` file containing some variables in order to make it work (such as your local paths and names of the directories), or write them directly into the code as variables.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5592470&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 68visibility views 68 download downloads 6 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5592470&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Giovanni Spitale; Federico Germani; Nikola Biller - Andorno;Giovanni Spitale; Federico Germani; Nikola Biller - Andorno;The purpose of this tool is performing NLP analysis on Telegram chats. Telegram chats can be exported as .json files from the official client, Telegram Desktop (v. 2.9.2.0). The files are parsed, the content is used to populate a message dataframe, which is then anonymized. The software calculates and displays the following information: user count (n of users, new users per day, removed users per day); message count (n and relative frequency of messages, messages per day); autocoded messages (anonymized message dataframe with code weights assigned to each message based on a customizable set of regex rules); prevalence of codes (n and relative frequency); prevalence of lemmas (n and relative frequency); prevalence of lemmas segmented by autocode (n and relative frequency); mean sentiment per day; mean sentiment segmented by autocode. The software outputs: messages_df_anon.csv - an anonymized file containing the progressive id of the message, the date, the univocal pseudonym of the sender, and the text; usercount_df.csv - user count dataframe; user_activity_df.csv - user activity dataframe; messagecount_df.csv - message count dataframe; messages_df_anon_coded.csv - an anonymized file containing the progressive id of the message, the date, the univocal pseudonym of the sender, the text, the codes, and the sentiment; autocode_freq_df.csv - general prevalence of codes; lemma_df.csv - lemma frequency; autocode_freq_df_[rule_name].csv - lemma frequency in coded messages, one file per rule; daily_sentiment_df.csv - daily sentiment; sentiment_by_code_df.csv - sentiment segmented by code; messages_anon.txt - anonymized text file generated from the message data frame, for easy import in other software for text mining or qualitative analysis; messages_anon_MaxQDA.txt - anonymized text file generated from the message data frame, formatted specifically for MaxQDA (to track speakers and codes). Dependencies: pandas (1.2.1) json random os re tqdm (4.62.2) datetime (4.3) matplotlib (3.4.3) Spacy (3.1.2) + it_core_news_md wordcloud (1.8.1) Counter feel_it (1.0.3) torch (1.9.0) numpy (1.21.1) transformers (4.3.3) This code is optimized for Italian, however: Lemma analysis is based on spaCy, which provides several other models for other languages ( https://spacy.io/models ) so it can easily be adapted. Sentiment analysis is performed using FEEL-IT: Emotion and Sentiment Classification for the Italian Language (Kudos to Federico Bianchi <f.bianchi@unibocconi.it>; Debora Nozza <debora.nozza@unibocconi.it>; and Dirk Hovy <dirk.hovy@unibocconi.it>). Their work is specific for Italian. To perform sentiment analysis in other languages one could consider nltk.sentiment The code is structured in a Jupyter-lab notebook, heavily commented for future reference. The software comes with a toy dataset comprised of Wikiquotes copy-pasted in a chat created by the research group. Have fun exploring it. {"references": ["Bianchi F, Nozza D, Hovy D. FEEL-IT: Emotion and Sentiment Classification for the Italian Language. In: Proceedings of the 11th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Association for Computational Linguistics; 2021. https://github.com/MilaNLProc/feel-it"]}
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5533906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 413visibility views 413 download downloads 20 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5533906&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Horton, Laurence;Horton, Laurence;Code for checking the status of URL links in the dataset: Horton, Laurence (2018). UK Higher Education Institution Research Data Management Policies, 2009-2016. [Data Collection]. Colchester, Essex: UK Data Archive. https://doi.org/10.5255/UKDA-SN-851566 {"references": ["Horton, Laurence (2018). UK Higher Education Institution Research Data Management Policies, 2009-2016. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-851566"]}
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5392197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 48visibility views 48 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5392197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Funded by:UKRI | ARTICT | Art Through the ..., EC | SSHOC, UKRI | Persistent Identifiers as... +1 projectsUKRI| ARTICT | Art Through the ICT Lens: Big Data Processing Tools to Support the Technical Study, Preservation and Conservation of Old Master Paintings ,EC| SSHOC ,UKRI| Persistent Identifiers as IRO Infrastructure ,UKRI| Practical applications of IIIF as a building block towards a digital National CollectionAuthors: Joseph Padfield;Joseph Padfield;This is a simple set of processes for creating a standard set of webpages based on a simple set of json files. This project is intended to work along side other projects to provide a simple way of creating a set of consistent webpages, which can be delivered as part of your own GitHub project using GitHub pages. It has been extended to allow more complex features such as presenting IIIIF (https://iiif.io) viewers, Timelines, and ordered Lists & Galleries. Various updates to the related JavaScript libraries have been added along with an option to use the whole system to create dynamic as well as static websites. For more detail and the most current version of the code see: https://github.com/jpadfield/simple-site
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4504844&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 140visibility views 140 download downloads 2 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4504844&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Tobias Hey; Fei Chen; Sebastian Weigelt; Walter F. Tichy;Tobias Hey; Fei Chen; Sebastian Weigelt; Walter F. Tichy;This is the supplementary material of the paper "Improving Traceability Link Recovery Using Fine-grained Requirements-to-Code Relations". In this paper, we explore the performance of word embedding-based fine-grained requirements-to-code relations in automated traceability link recovery. The repository includes the code as well as the datasets used. To fully enable the potential of a word embedding based approach, we translated the identifier in two datasets (SMOS and eTour) to match the prevalent language. Attribution (of datasets used): The original SMOS and eAnci datasets can be attributed to Gethers et al., On integrating orthogonal information retrieval methods to improve traceability recovery. In 2011 27th IEEE International Conference on Software Maintenance (ICSM), Sep. 2011. Available: https://doi.org/10.1109/ICSM.2011.6080780 The original eTour dataset was provided for the TEFSE challenge at 6th International Workshop on Traceability in Emerging Forms of Software Engineering (TEFSE), 2011 and was retrieved from http://coest.org/
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5449353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 100visibility views 100 download downloads 15 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.5449353&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Mahmud, Junayed; Faisal, Fahim; Islam Arnob, Raihan; Anastasopoulos, Antonios; Moran, Kevin;This Zenodo repository contains the code, data, and replication package for our paper entitled "Code to Comment Translation: An Empirical Study on Model Effectiveness and Errors".
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4904024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 120visibility views 120 download downloads 71 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4904024&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Pachankis, Yang I.;Pachankis, Yang I.;This research is based on observations made with the NASA/ESA Hubble Space Telescope obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5–26555. This research is based on observations made with the Galaxy Evolution Explorer (GALEX) satellite, a NASA mission led by the California Institute of Technology, obtained from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5–26555. The scientific results reported in this article are based [in part] on observations made by the Chandra X-ray Observatory. This work is based [in part] on observations made with the Spitzer Space Telescope, which was operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. The observations are performed on Harvard-Smithsonian Micro-observatory, and the data of this upload are processed by SAOImage DS9 MacOS. The set of imaging plate analysis served as orbital and trajectory analysis in relation to the angular momenta of the observations. Cyber-based targeting and intrusion were experienced during the experiment and analysis, with specific mocks on the contours with male genital. The ZScales served for the extra dimension analysis on the antimatter induction on the theoretical Van Der Waals Force in antimatter electromagnetism.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7187733&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 22visibility views 22 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.7187733&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Barzaghi, Sebastian;Barzaghi, Sebastian;This work aims to define a series of reference models that would serve as a guide to the design and development of the National Edition of Aldo Moro's works. These models have been defined through a benchmarking process that is organized as follows: content analysis on a sample of 30 digital editions, evaluated on the basis of certain criteria defined in [Sahle 2014]; processing of the data gathered as a result of the content analysis, so as to extract the relevant information, and visualize it; review of the data processing results and consideration of the models that can be used as reference. The digital editions that meet the quality criteria taken into consideration are equipped with the following characteristics: their audience is composed of both domain experts and generic users; their documentation is rich and accurate; their content is described by a complete set of metadata; they and their single parts are citable and uniquely identifiable; their data model is geared towards interoperability and interlinking between its contents and the relevant resources already existing on the Web; they use visualization and storytelling tools so as to convey information intuitively; their information architecture is well-structured and easily navigated; their data and contents can be downloaded in many different formats; they take advantage of Open Source software and tools; finally, their contents are open and accessible to anyone.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779138&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 106visibility views 106 download downloads 15 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779138&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Barzaghi, Sebastian;Barzaghi, Sebastian;This work aims to define a series of reference models that would serve as a guide to the design and development of the National Edition of Aldo Moro's works. These models have been defined through a benchmarking process that is organized as follows: content analysis on a sample of 30 digital editions, evaluated on the basis of certain criteria defined in [Sahle 2014]; processing of the data gathered as a result of the content analysis, so as to extract the relevant information, and visualize it; review of the data processing results and consideration of the models that can be used as reference. The digital editions that meet the quality criteria taken into consideration are equipped with the following characteristics: their audience is composed of both domain experts and generic users; their documentation is rich and accurate; their content is described by a complete set of metadata; they and their single parts are citable and uniquely identifiable; their data model is geared towards interoperability and interlinking between its contents and the relevant resources already existing on the Web; they use visualization and storytelling tools so as to convey information intuitively; their information architecture is well-structured and easily navigated; their data and contents can be downloaded in many different formats; they take advantage of Open Source software and tools; finally, their contents are open and accessible to anyone.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779139&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 22visibility views 22 download downloads 6 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4779139&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euintegration_instructions Research softwarekeyboard_double_arrow_right Software 2021 EnglishPublisher:Zenodo Authors: Cabanac, Guillaume; Labbé, Cyril;Cabanac, Guillaume; Labbé, Cyril;research integrity publishing industry misconduct retraction computer-generated papers SCIgen nonsense detection citation manipulation
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4729758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 220visibility views 220 download downloads 27 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.4729758&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu