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Sentiment Analysis Approaches
- Authors: Semenova M.O.1
-
Affiliations:
- Moscow State Linguistic University
- Issue: No 12(867) (2022)
- Pages: 83-87
- Section: Linguistics
- URL: https://ogarev-online.ru/2542-2197/article/view/380679
- ID: 380679
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Abstract
Sentiment analysis is the process of analyzing the emotional tonality of fragments of text or speech. According to the approach used, the classification of emotions consists of two stages. At the first stage, the text is divided into discursive units according to the Hearst method, and the emotion of each discursive unit is determined based on the frequency of emotional words contained in this unit. At the second stage, work is carried out with sentences in which an emotion appears, and the emotion of each sentence is classified by a method suitable for this type of sentence.
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About the authors
Mariia Olegovna Semenova
Moscow State Linguistic University
Author for correspondence.
Email: mariaurahara@mail.ru
Postgraduate Student of the Department of Translation Studies and Practice of English Translation, Faculty of Translation and Interpreting
Russian FederationReferences
- Allport, F. H. (1924). Social psychology. Boston: Houghton Mifflin.
- Ekman, P. (1972). Universals and cultural differences in facial expressions of emotion (pp. 207–283). Lincoln, NE: University of Nebraska Press.
- Hearst, M. A. (1994). Multi-paragraph segmentation of expository text. Proceedings of the 32nd Annual Meeting of Association for Computational Linguistics (pp. 9–16).
- National Language Laboratory in Japan. (2002). Bunrui Goi Hyou. Dainihon Tosyo.
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