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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.

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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.

Item Type: Conference or Workshop Item
Keywords: social media; sentiment analysis
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Related URLs:
Item ID: 48480
Depositing User: Kay Dave
Date Deposited: 20 Feb 2017 16:22
Last Modified: 21 Feb 2017 12:16
URI: http://oro.open.ac.uk/id/eprint/48480
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