TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter Article Swipe
We present TweetVista, an interactive web-based tool for mapping the conversation landscapes on Twitter. TweetVista is an intelligent and interactive desktop web application for exploring the conversation landscapes on Twitter. Given a dataset of tweets, the tool uses advanced NLP techniques using deep neural networks and a scalable clustering algorithm to map out coherent conversation clusters. The interactive visualization engine then enables the users to explore these clusters. We ran three case studies using datasets about the 2016 US presidential election and the summer 2016 Orlando shooting. Despite the enormous size of these datasets, using TweetVista users were able to quickly and clearly make sense of the various conversation topics around these datasets.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://hdl.handle.net/1721.1/107646
- OA Status
- green
- References
- 6
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2604369515
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2604369515Canonical identifier for this work in OpenAlex
- Title
-
TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on TwitterWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-03-01Full publication date if available
- Authors
-
Prashanth Vijayaraghavan, Soroush Vosoughi, Ann Yuan, Deb RoyList of authors in order
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-
https://hdl.handle.net/1721.1/107646Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://hdl.handle.net/1721.1/107646Direct OA link when available
- Concepts
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Conversation, Computer science, Cluster analysis, Visualization, World Wide Web, Scalability, Interactive visualization, Human–computer interaction, Artificial intelligence, Database, Linguistics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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6Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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