A Hybrid Approach To Sentiment Analysis
2016 IEEE Congress on Evolutionary Computation (CEC)(2016)
摘要
This contribution presents a hybrid approach to Sentiment Analysis (SA) encompassing the use of semantic rules, fuzzy sets, unsupervised machine learning techniques and a sentiment lexicon improved with the support of Senti-WordNet. A Hybrid Standard Classification is first carried out, which is further enhanced into a Hybrid Advanced approach incorporating linguistic classification of semantic polarity modelled using fuzzy sets. The mechanism of the new SA methodology is illustrated by applying it to compute the polarity of a given sentence and to a benchmarking publicly available dataset: the Movie Review Dataset.
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关键词
sentiment analysis,semantic rules,fuzzy sets,unsupervised machine learning,sentiment lexicon,SentiWordNet,hybrid standard classification,hybrid advanced approach,linguistic classification,semantic polarity,SA methodology,Movie Review dataset
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