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8 research outcomes, page 1 of 1
  • publication . Conference object . Preprint . 2021
    Open Access English
    Authors:
    Kunwoo Park; Zhu Feng Pan; Jungseock Joo;
    Persistent Identifiers
    Project: NSF | RIDIR: Collaborative Rese... (1831848)

    Understanding who blames or supports whom in news text is a critical research question in computational social science. Traditional methods and datasets for sentiment analysis are, however, not suitable for the domain of political text as they do not consider the direct...

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  • publication . Conference object . Other literature type . Preprint . 2021
    Open Access English
    Authors:
    Denis Newman-Griffis; Venkatesh Sivaraman; Adam Perer; Eric Fosler-Lussier; Harry Hochheiser;
    Project: NIH | Pittsburgh Biomedical Inf... (5T15LM007059-20)

    Embeddings of words and concepts capture syntactic and semantic regularities of language; however, they have seen limited use as tools to study characteristics of different corpora and how they relate to one another. We introduce TextEssence, an interactive system desig...

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  • publication . Article . 2021
    Open Access English
    Authors:
    Jaana Parviainen; Anne Koski; Sinikka Torkkola;
    Persistent Identifiers
    Country: Finland
    Project: AKA | Struggling with Ignorance... (316112)

    The novel coronavirus pandemic (COVID-19) has had far-reaching effects on public health around the world. Attempts to prevent the spread of the disease by quarantine have led to large-scale global socioeconomic disrup- tion. During the outbreak, public authorities and p...

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  • publication . Article . Preprint . 2020
    Open Access English
    Authors:
    Dyer, Joel; Kolic, Blas;
    Persistent Identifiers

    Successful navigation of the Covid-19 pandemic is predicated on public cooperation with safety measures and appropriate perception of risk, in which emotion and attention play important roles. Signatures of public emotion and attention are present in social media data, ...

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  • publication . Article . Preprint . 2020
    Open Access
    Authors:
    Oguzhan Gencoglu;
    Persistent Identifiers
    Publisher: MDPI AG
    Country: Finland

    Quantifying the characteristics of public attention is an essential prerequisite for appropriate crisis management during severe events such as pandemics. For this purpose, we propose language-agnostic tweet representations to perform large-scale Twitter discourse class...

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  • publication . Preprint . Conference object . 2020
    Open Access English
    Authors:
    Roshan Santosh; Hansen Andrew Schwartz; Johannes C. Eichstaedt; Lyle H. Ungar; Sharath Chandra Guntuku;
    Persistent Identifiers

    In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can be applied to finding context-specific words and texts (e.g. symptom mentions) in large imb...

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  • publication . Conference object . Preprint . 2020
    Open Access English
    Authors:
    Ashiqur R. KhudaBukhsh; Shriphani Palakodety; Jaime G. Carbonell;
    Persistent Identifiers

    Code mixing (or code switching) is a common phenomenon observed in social-media content generated by a linguistically diverse user-base. Studies show that in the Indian sub-continent, a substantial fraction of social media posts exhibit code switching. While the difficu...

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  • publication . Preprint . Part of book or chapter of book . Book . Conference object . 2020
    Open Access English
    Authors:
    Elisa Bassignana; Malvina Nissim; Viviana Patti;
    Publisher: Accademia University Press
    Countries: Italy, Netherlands

    We present a novel corpus for personality prediction in Italian, containing a larger number of authors and a different genre compared to previously available resources. The corpus is built exploiting Distant Supervision, assigning Myers-Briggs Type Indicator (MBTI) labe...

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8 research outcomes, page 1 of 1