Analyzing sentiment while accounting for negation scope and strength

A.C. Hogenboom, P. Iterson, van, B.M.W.T. Heerschop, F. Frasincar, U. Kaymak

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Abstract

Recent developments in automated sentiment analysis show a tendency of accounting for various aspects other than word frequencies. One of these aspects is negation. We compare several approaches to accounting for negation in sentiment analysis, differing in their methods of determining the scope of influence of a negation keyword. On a set of English movie review sentences, the best approach turns out to be to consider the first two words, following a negation keyword, to be negated by that keyword. Additionally, we propose to optimize the sentiment modification in case of negation to a value of –1.27 rather than –1.
Original languageEnglish
Title of host publicationProceedings of the 23rd Benelux Conference on Artificial Intelligence (BNAIC 2011), November 3-4, 2011
EditorsP. De Causmaecker, J. Maervoet, T. Messelis, K. Verbeeck, T. Vermeulen
Place of PublicationGent, België
PublisherBNAIC
Pages395-396
Publication statusPublished - 2011
Event23rd Benelux Conference on Artificial Intelligence (BNAIC 2011) - Gent, Belgium
Duration: 3 Nov 20114 Nov 2011
Conference number: 23

Conference

Conference23rd Benelux Conference on Artificial Intelligence (BNAIC 2011)
Abbreviated titleBNAIC 2011
Country/TerritoryBelgium
CityGent
Period3/11/114/11/11

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