Identifying Polarity in Financial Texts for Sentiment Analysis: A Corpus-based Approach

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 si...

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Bibliographic Details
Published inProcedia, social and behavioral sciences Vol. 198; pp. 330 - 338
Main Authors Moreno-Ortiz, Antonio, Fernández-Cruz, Javier
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 24.07.2015
Subjects
corpus linguistics
financial texts
information retrieval
sentiment analysis
specialized languages
terminology
financial texts
corpus linguistics
sentiment analysis
terminology
information retrieval
specialized languages
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ISSN1877-0428
1877-0428
DOI10.1016/j.sbspro.2015.07.451

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Summary: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 to obtain sentiment-bearing words whose polarity is domain-specific.
ISSN:1877-0428
1877-0428
DOI:10.1016/j.sbspro.2015.07.451