Visual Analysis of Sentiment and Stance in Social Media Texts
dc.contributor.author | Kucher, Kostiantyn | en_US |
dc.contributor.author | Paradis, Carita | en_US |
dc.contributor.author | Kerren, Andreas | en_US |
dc.contributor.editor | Anna Puig and Renata Raidou | en_US |
dc.date.accessioned | 2018-06-02T17:55:52Z | |
dc.date.available | 2018-06-02T17:55:52Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Despite the growing interest for visualization of sentiments and emotions in textual data, the task of detecting and visualizing various stances is not addressed well by the existing approaches. The challenges associated with this task include development of the underlying computational methods and visualization of the corresponding multi-label stance classification results. In this poster abstract, we describe the ongoing work on a visual analytics platform, called StanceVis Prime, which is designed for analysis of sentiment and stance in temporal text data from various social media data sources. Our approach consumes documents from several text stream sources, applies sentiment and stance classification, and provides end users with both an overview of the resulting data series and a detailed view for close reading and examination of the classifiers' output. The intended use case scenarios for StanceVis Prime include social media monitoring and research in sociolinguistics. | en_US |
dc.description.sectionheaders | Posters | |
dc.description.seriesinformation | EuroVis 2018 - Posters | |
dc.identifier.doi | 10.2312/eurp.20181127 | |
dc.identifier.isbn | 978-3-03868-065-9 | |
dc.identifier.pages | 49-51 | |
dc.identifier.uri | https://doi.org/10.2312/eurp.20181127 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurp20181127 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Visual analytics | |
dc.subject | Computing methodologies | |
dc.subject | Discourse | |
dc.subject | dialogue and pragmatics | |
dc.subject | Information systems | |
dc.subject | Sentiment analysis | |
dc.title | Visual Analysis of Sentiment and Stance in Social Media Texts | en_US |