TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter
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iuidp0166-vijayaraghavanA.pdf
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Main article
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Author(s)
Vijayaraghavan, Prashanth
Vosoughi, Soroush
Yuan, Ann
Roy, Deb K
Date Issued
March 2017
Journal
Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion - IUI '17 Companion
Publisher
Association for Computing Machinery (ACM)
Citation
Vijayaraghavan, Prashanth, Soroush Vosoughi, Ann Yuan, and Deb Roy. “TweetVista: An AI-Powered Interactive Tool for Exploring Conversations on Twitter.” In Proceedings of the 22nd International Conference on Intelligent User Interfaces Companion (IUI '17 Companion), Limassol, Cyprus, March 13-16, 2017, ACM, New York, NY, USA, pp.145-148.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/3030024.3040979
