SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis

Saif, Hassan; Bashevoy, Maxim; Taylor, Steve; Fernández, Miriam and Alani, Harith (2016). SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis. In: ESWC2016: European Semantic Web Conference, 29 May - 02 Jun 2016, Anissaras, Crete, Greece.

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
• • http://2016.eswc-conferences.org/program...(Other)
• Depositing User
• Kay Dave