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영화평 문서의 오피니언 자동 분류를 위한 언어학적 패턴 연구

Study on Linguistic Patterns of Online Reviews on Movie for the Automatic Classification of Human Opinion

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참고문헌

키워드

주제분류언어학

초록

In this study, we describe the linguistic characteristics of online review texts on Movie in order to develop an efficient opinion evaluation system of online documents: we analyze especially lexico-semantic features such as positive keywords or negative keywords, syntactic properties such as negative constructions, distribution of collocated nouns, conditional constructions, comparative constructions, and some frozen expressions conveying a positive or negative polarity. We underline the current approach to opinion mining using mostly statistical methods should be reinforced with a more serious linguistic description of review texts. We introduce a finite grammar named LGG(Local-Grammar Graph) which allows to formalize linguistic description into finite-state graph equivalent to FST(finite-state transducer): this task can be performed in an efficient way by the support of the UNITEX developed for this purpose. We present a result of the application of the LGG-MOVIE which represents a part of the linguistic patterns we discussed in this paper on a new sub-set of review texts on Movie.

Abstract

In this study, we describe the linguistic characteristics of online review texts on Movie in order to develop an efficient opinion evaluation system of online documents: we analyze especially lexico-semantic features such as positive keywords or negative keywords, syntactic properties such as negative constructions, distribution of collocated nouns, conditional constructions, comparative constructions, and some frozen expressions conveying a positive or negative polarity. We underline the current approach to opinion mining using mostly statistical methods should be reinforced with a more serious linguistic description of review texts. We introduce a finite grammar named LGG(Local-Grammar Graph) which allows to formalize linguistic description into finite-state graph equivalent to FST(finite-state transducer): this task can be performed in an efficient way by the support of the UNITEX developed for this purpose. We present a result of the application of the LGG-MOVIE which represents a part of the linguistic patterns we discussed in this paper on a new sub-set of review texts on Movie.

참고문헌 (12)

  1. 남지순, "온라인 상품비교문 추출을 위한 형용사술어 비교 구문 연구", 언어과학, 16(3), pp.63~95 (2009), 한국언어과학회
  2. 남지순, "한국어 전자사전 DECO, DICORA-TR-2010-01", 02, 2010
  3. 명재석, "반자동으로 구축된 의미 사전을 이용한 한국어 상품평 분석 시스템", 정보과학회논문지 : 소프트웨어 및 응용, 35(6), pp.392~403 (2008), 한국정보과학회
  4. 양정연, "상품 리뷰 요약에서의 문맥 정보를 이용한 의견 분류 방법", 정보과학회논문지 : 데이타베이스, 36(4), pp.254~262 (2009), 한국정보과학회
  5. Esuli, A, "Senti-WordNet: A Publicly Available Lexical Resource for Opinion Mining", Proceedings of the 5th LREC, pp.417~422 (2006)
  6. Gross,M, "The Construction of Local Grammars, in Finite-State Language Processing", pp.329~354 (1997), The MIT Press
  7. Gross,M, "Nouvelles applications des graphes d'automates finis a la description linguistique, Lingvisticae Investigationes 22", pp.249~262 (1999), John Benjamins Publishing Company
  8. Hatzivassiloglou, V, "Predicting the Semantic Orientation of Adjectives", Proceedings of the 8th conference on European chapter of the ACL, pp.174~181 (1997)
  9. Hu, M, "Mining and summarizing customer reviews", Proceedings of the 10th ACM SIGKDD, pp.168~177 (2004)
  10. Paumier,S, "De la reconnaissance de formes linguistiques a l'analyse syntaxique", 박사, pp.2003
  11. Turney,P, "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews", Proceedings of the 40th ACL, pp.417~424 (2002)
  12. Wiebe, J, "Development and use of a gold standard data set for subjectivity classifications", Proceedings of the 37th ACL, pp.246~253 (1999)

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