Browse Student Publications and Research - Information Sciences by Author "Diesner, Jana"

  • Mishra, Shubhanshu; Agarwal, Sneha; Guo, Jinlong; Phelps, Kirstin; Picco, Johna; Diesner, Jana (ACM Digital Library, 2014-06)
    We present a novel sentiment classifier particularly designed for modeling and analyzing social movements; capturing levels of support (supportive versus non-supportive) and degrees of enthusiasm (enthusiastic versus ...

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  • Mishra, Shubhanshu; Fegley, Brent D.; Diesner, Jana; Torvik, Vetle I. (2018-11-10)
    Authors contribute a wide variety of intellectual efforts to a research paper, ranging from initial conceptualization to final analysis and reporting, and many journals today publish the allocated responsibilities and ...

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  • Mishra, Shubhanshu; Diesner, Jana; Tao, Liang; Surbeck, Elizabeth; Byrne, Jason (GSLIS Research Showcase 2015, 2015-04-03)
    Predicting various types of sentiment for textual data sources is an intensely studied problem in linguistics and computing. Despite progress with computational solutions beyond deterministic lookup dictionaries, practitioners ...

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    application/vnd.openxmlformats-officedocument.presentationml.presentationMicrosoft PowerPoint 2007 (6MB)
  • Mishra, Shubhanshu; Diesner, Jana; Byrne, Jason; Surbeck, Elizabeth (ACM Digital Library, 2015-09-04)
    The adjustment of probabilistic models for sentiment analysis to changes in language use and the perception of products can be realized via incremental learning techniques. We provide a free, open and GUI-based sentiment ...

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    application/pdfPDF (906kB)