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- research data . Audiovisual . 2020EnglishAuthors:HC User;doi: 10.17613/by70-qe80Publisher: Humanities Commons
In this video, Dr. Stephanie Vie explains the process and challenges of collecting data from Twitter.
- research data . Image . 2020Evaluating a Machine Learning Approach to Identifying Expressive Content at Page Level in HathiTrustEnglishAuthors:PARULIAN, NIKOLAUS;doi: 10.17613/3nfw-tx25Publisher: Humanities Commons
HathiTrust currently provides metadata, scanned images, and full text for all public domain volumes. However, it’s likely there is content that is of interest to scholars and free from restriction within the front matter of most volumes, regardless of rights status. For...
- research data . Audiovisual . 2020EnglishAuthors:Baeza Ventura, Gabriela; Cotera, Maria; Davalos, KarenMary; García Merchant, Linda; Pérez, Annemarie; Seiferle-Valencia, Marco; Villarroel, Carolina;doi: 10.17613/zpx6-1c59Publisher: Humanities Commons
Through movements, organizations and pedagogical initiatives, such as transformDH, FemTechNet and DOOCs, the field of dh was invited to rethink its initial traditional and anglocentric structures. Although the field has made efforts to center people and knowledges not i...
- research data . Audiovisual . 2020EnglishAuthors:LIU, CHAO-LIN; Pai, Pi-Ling; Peng, Yi-Fan;doi: 10.17613/c2ng-r737Publisher: Humanities Commons
In this research, we focus on spatial analysis and natural language processing (NLP) techniques to find two elements: “Where (Location)” and “When (Time)” in the biographical data. By linking and showing the extracted information via a GIS system, we built a spatiotempo...
- research data . Image . 2020EnglishAuthors:Fitsilis, Fotios; Leventis, Sotiris; Mikros, George; Papantonakis, Panagiotis;doi: 10.17613/ge14-7a04Publisher: Humanities Commons
The Xtralingua project aims at developing a tool for extracting quantitative text profiles from large collections of texts. Existing solutions and tools are hard to use and require high technical knowledge, often absent in researchers of Digital Humanities. We developed...
- research data . Audiovisual . 2020EnglishAuthors:Rahul K Gairola, Dr;doi: 10.17613/7dy5-0n71Publisher: Humanities Commons
Lightening Talk: Brown Skin, White Masks: Predictive Technology, Colonial Histories, and Queer Sexuality Today
- research data . Audiovisual . 2020EnglishAuthors:Marongiu, Paola;doi: 10.17613/ecef-8y53Publisher: Humanities Commons
This study stems from my PhD thesis on the co-occurrence of modal markers in a Latin corpus, with a focus on the syntactic structures or linguistic items with which they interact. These linguistic items can be coordinating or subordinating conjunctions or adverbs. An ex...
- research data . Audiovisual . 2020EnglishAuthors:Salter, Anastasia;doi: 10.17613/xfwj-4e15Publisher: Humanities Commons
In this video, Dr. Anastasia Salter talks about the use of the GitHub platform for research.
- research data . Audiovisual . 2020EnglishAuthors:Khosmood, Foaad; Kusters, Ethan; Soares, Luca; Verkruyse, Samuel; Vowell, Zach; Wilson, Joey;doi: 10.17613/hgdt-n788Publisher: Humanities Commons
Descriptive metadata and full-text transcripts have long been valued for their roles in powering search engines and faceted browsing. But as the morganpapers.org web application demonstrates, such textual data (both structured and unstructured) can be leveraged to build...
- research data . Audiovisual . 2020EnglishAuthors:Steele, Catherine;doi: 10.17613/98cb-fq81Publisher: Humanities Commons
In this video, Dr. Catherine Knight Steele reviews best ethical practices for digital research.