SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis
| Autor: | Harith Alani, M.V. Bashevoy, Stephen Taylor, Hassan Saif, Miriam Fernandez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
media_common.quotation_subject 05 social sciences Sentiment analysis InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Public debate 02 engineering and technology Term (time) World Wide Web Feeling 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Social media 0509 other social sciences InformationSystems_MISCELLANEOUS 050904 information & library sciences media_common |
| Zdroj: | ESWC2016: European Semantic Web Conference The Semantic Web ISBN: 9783319476018 ESWC (Satellite Events) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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