Cited By
View all- Kang EHur CChoi Y(2020)CrowdForestCompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3381486(97-98)Online publication date: 17-Mar-2020
Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts
Pages 102 - 103
Abstract
The analysis of various opinions and arguments in textual data can be facilitated by automatic topic modeling methods; however, the exploration and interpretation of the resulting topics and terms may prove to be difficult to the analysts. Opinions, stances, arguments, topics, terms, and text documents are usually connected with many-to-many relationships for such tasks. Exploratory visual analysis with interactive tools can help the analysts to get an overview of the topics and opinions, identify particularly interesting documents, and describe main themes of various arguments. In our previous work, we introduced an interactive tool called Topics2Themes that was used for topic and theme analysis of vaccination-related discussion texts with a limited set of stance categories. In this poster paper, we describe an application of Topics2Themes to a different genre of data, namely, political comments from Reddit, and multiple sentiment and stance categories detected with automatic classifiers.
References
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Wenwen Dou and Shixia Liu. 2016. Topic- and Time-Oriented Visual Text Analysis. IEEE Computer Graphics and Applications 36, 4 (July 2016), 8--13.
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Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, and John Stasko. 2013. Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw. IEEE Transactions on Visualization and Computer Graphics 19, 10 (Oct. 2013), 1646--1663.
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Maria Skeppstedt, Andreas Kerren, and Manfred Stede. 2018. Vaccine Hesitancy in Discussion Forums: Computer-Assisted Argument Mining with Topic Models. Studies in Health Technology and Informatics 247 (2018), 366--370. Proceedings of the 29th Medical Informatics Europe Conference (MIE '18).
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Maria Skeppstedt, Kostiantyn Kucher, Manfred Stede, and Andreas Kerren. 2018. Topics2Themes: Computer-Assisted Argument Extraction by Visual Analysis of Important Topics. In Proceedings of the 3rd Workshop on Visualization as Added Value in the Development, Use and Evaluation of Language Resources at LREC '18 (VisLR III). European Language Resources Association (ELRA), Paris, France. http://lrec-conf.org/workshops/lrec2018/W16/summaries/2_W16.html
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Index Terms
- Application of Interactive Computer-Assisted Argument Extraction to Opinionated Social Media Texts
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Information & Contributors
Information
Published In
August 2018
135 pages
ISBN:9781450365017
DOI:10.1145/3231622
- General Chair:
- Andreas Kerren,
- Program Chairs:
- Karsten Klein,
- Yi-Na Li
Copyright © 2018 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 August 2018
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- Refereed limited
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VINCI '18
VINCI '18: The 11th International Symposium on Visual Information Communication and Interaction
August 13 - 15, 2018
Växjö, Sweden
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Overall Acceptance Rate 71 of 193 submissions, 37%
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Cited By
View all- Kang EHur CChoi Y(2020)CrowdForestCompanion Proceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3379336.3381486(97-98)Online publication date: 17-Mar-2020
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