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Saif, Hassan; Bashevoy, Maxim; Taylor, Steve; Fernández, Miriam and Alani, Harith
(2016).
DOI: https://doi.org/10.1007/978-3-319-47602-5_28
URL: http://2016.eswc-conferences.org/sites/default/fil...
Abstract
Sentiment analysis over social streams offers governments and organisations a fast and effective way to monitor the publics’ feelings towards policies, brands, business, etc. In this paper we present SentiCircles, a platform that captures feedback from social media conversations and applies contextual and conceptual sentiment analysis models to extract and summarise sentiment from these conversations. It provides a novel sentiment navigation design where contextual sentiment is captured and presented at term/entity level, enabling a better alignment of positive and negative sentiment to the nature of the public debate.
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About
- Item ORO ID
- 48480
- Item Type
- Conference or Workshop Item
- Keywords
- social media; sentiment analysis
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Related URLs
- Depositing User
- Kay Dave