Plexus: An Interactive Visualization Tool for Analyzing Public Emotions from Twitter Data
January 23, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Xiaodong Wu, Lyn Bartram, Chris Shaw
arXiv ID
1701.06270
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.SI
Citations
7
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Social media is often used by researchers as an approach to obtaining real-time data on people's activities and thoughts. Twitter, as one of the most popular social networking services nowadays, provides copious information streams on various topics and events. Mining and analyzing Tweets enable us to find public reactions and emotions to activities or objects. This paper presents an interactive visualization tool that identifies and visualizes people's emotions on any two related topics by streaming and processing data from Twitter. The effectiveness of this visualization was evaluated and demonstrated by a feasibility study with 14 participants.
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