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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Published in | Procedia, social and behavioral sciences Vol. 198; pp. 330 - 338 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
24.07.2015
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Subjects | |
Online Access | Get full text |
ISSN | 1877-0428 1877-0428 |
DOI | 10.1016/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. |
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ISSN: | 1877-0428 1877-0428 |
DOI: | 10.1016/j.sbspro.2015.07.451 |