A collaborative system for sentiment analysis
| Autor: | Vangelis Karkaletsis, Manfred Klenner, George A. Vouros, Vassiliki Rentoumi, Stefanos Petrakis |
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| Přispěvatelé: | University of Zurich, Rentoumi, V |
| Rok vydání: | 2010 |
| Předmět: |
Coping (psychology)
060101 anthropology Word-sense disambiguation business.industry Computer science Sentiment analysis 410 Linguistics 06 humanities and the arts 02 engineering and technology 000 Computer science knowledge & systems computer.software_genre Literal and figurative language 10105 Institute of Computational Linguistics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0601 history and archaeology Artificial intelligence 1700 General Computer Science business 2614 Theoretical Computer Science computer Natural language processing Movie reviews |
| Zdroj: | Artificial Intelligence: Theories, Models and Applications ISBN: 9783642128417 SETN |
| Popis: | In the past we have witnessed our machine learning method for sentiment analysis coping well with figurative language, but determining with uncertainty the polarity of mildly figurative cases We have shown that for these uncertain cases, a rule-based system should be consulted We evaluate this collaborative approach on the ”Rotten Tomatoes” movie reviews dataset and compare it with other state-of-the-art methods, providing further evidence in favor of this approach. |
| Databáze: | OpenAIRE |
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