AAAI Publications, Twenty-Fourth International FLAIRS Conference

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Opinion Extraction and Classification Based on Semantic Similarities
Aymen Elkhlifi, Rihab Bouchlaghem, Rim Faiz

Last modified: 2011-03-20


This paper presents an automatic extraction and classification approach of opinions in texts. Therefore, we propose a similarity measurement calculating semantically similarities between a word and predefined subgroups of seed words. We have evaluated our approach on the semantic evaluation company “SemEval 2007” corpus, and we obtained promising results: the best value of Precision, 62%; and F1, 61%; as an improvement of 20 % compared to the participant systems.

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