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Identifying Polarity in Financial Texts for Sentiment Analysis: A Corpus-based Approach
2015
Procedia - Social and Behavioral Sciences
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In this paper we describe our methodology to integrate domain-specific sentiment analysis in a lexicon-based system initially designed for general language texts. Our approach to dealing with specialized domains is based on the idea of "plug-in" lexical resources which can be applied on demand. A simple 3-step model based on the weirdness ratio measure is proposed to extract candidate terms from specialized corpora, which are then matched against our existing general-language polarity database
doi:10.1016/j.sbspro.2015.07.451
fatcat:wv5c4vykdrcurbqkdhwzbzg3he