Dimentional sentiment analysis by synsets and sense definitions

Abstract

This paper proposed several approaches to predict sentiment feature values by information provided in semantic resources. The rating of a sentiment feature of a target word was predicted by weighted averaging of similar words in WordNet or Cilin whose sets of senses greatly overlapped with the sense set of the target. A vector space was also built where the… (More)
DOI: 10.1109/IALP.2016.7875999

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