Adapting Domain-specific Sentiment Lexicon using New NLP-based Method in Arabic Language
نویسندگان
چکیده
In this paper, we proposed a natural language processing (NLP)-based method, for cross-domains adapting sentiment lexicon, this method utilized Arabic NLP roots, for finding out words that share the same root with different morphemes. This helped in the process of producing new adapted lexicon that gave better accuracy results, when applying lexiconbased sentiment analysis on different corpus, in terms of domains coverage. The experimental results depicted enhanced results either in the precision of the proposed algorithm or in the accuracy of sentiment analysis applied on both corpora
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