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Form and function in evaluative language

The use of corpora to identify context valence shifters in a linguistically-motivated sentiment analysis system
  • Antonio Moreno Ortiz and Chantal Perez Hernandez
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Abstract

In this paper we summarise current research in the analysis of evaluative language, both from a linguistic and a NLP perspective, and offer a description of the approaches that have been proposed, to focus on the use of text corpora as a common resource employed by practitioners of both disciplines. We then present some of the work carried out by our research team, Tecnolengua, that has concentrated on the construction of a domain-neutral, linguistically-motivated sentiment analysis tool, which makes extensive use of lexical resources of various types. Among such resources, the inclusion of multiword expressions in our database is a key factor in the improved performance of Sentitext, as they play an integral role in the creation of the context rules we use to account for those cases in which the assigned valence of an individual word is modified by its surrounding linguistic environment.

Abstract

In this paper we summarise current research in the analysis of evaluative language, both from a linguistic and a NLP perspective, and offer a description of the approaches that have been proposed, to focus on the use of text corpora as a common resource employed by practitioners of both disciplines. We then present some of the work carried out by our research team, Tecnolengua, that has concentrated on the construction of a domain-neutral, linguistically-motivated sentiment analysis tool, which makes extensive use of lexical resources of various types. Among such resources, the inclusion of multiword expressions in our database is a key factor in the improved performance of Sentitext, as they play an integral role in the creation of the context rules we use to account for those cases in which the assigned valence of an individual word is modified by its surrounding linguistic environment.

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