Sentiment Analysis in the News
作者： Vanni Zavarella , Alexandra Balahur , Jenya Belyaeva , Mijail A. Kabadjov , Ralf Steinberger
DOI:
关键词: Sentiment analysis 、 Information retrieval 、 Context (language use) 、 Interpretation (philosophy) 、 Computer science 、 Artificial intelligence 、 Newspaper 、 Natural language processing 、 News values 、 Annotation
摘要: Recent years have brought a significant growth in the volume of research sentiment analysis, mostly on highly subjective text types (movie or product reviews). The main difference these texts with news articles is that their target clearly defined and unique across text. Following different annotation efforts analysis issues encountered, we realised opinion mining from other types. We identified three subtasks need to be addressed: definition target; separation good bad content expressed marked explicitly, not needing interpretation use world knowledge. Furthermore, distinguish possible views newspaper ― author, reader text, which addressed differently at time analysing sentiment. Given definitions, present work opinions about entities English language news, apply concepts. Results showed this idea more appropriate context approaches taking into consideration produce better performance.
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Andrea Esuli, Fabrizio Sebastiani, SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining language resources and evaluation. pp. 417- 422 ,(2006)
Erik Van der Goot, Bruno Pouliquen, Ralf Steinberger, An Introduction to the Europe Media Monitor Family of Applications arXiv: Computation and Language. ,(2009)
Janyce M. Wiebe, Tracking point of view in narrative Computational Linguistics. ,vol. 20, pp. 233- 287 ,(1994) , 10.5555/972525.972529
Ann Banfield, Unspeakable Sentences : Narration and Representation in the Language of Fiction ,(1982)
David Crystal, Randolph Quirk, A Comprehensive Grammar of the English Language ,(1985)
Ellen Riloff, Janyce Wiebe, Learning extraction patterns for subjective expressions Proceedings of the 2003 conference on Empirical methods in natural language processing -. pp. 105- 112 ,(2003) , 10.3115/1119355.1119369
Carlo Strapparava, Rada Mihalcea, SemEval-2007 Task 14: Affective Text meeting of the association for computational linguistics. pp. 70- 74 ,(2007) , 10.3115/1621474.1621487
Soo-Min Kim, Eduard Hovy, Determining the sentiment of opinions Proceedings of the 20th international conference on Computational Linguistics - COLING '04. pp. 1367- 1373 ,(2004) , 10.3115/1220355.1220555
Kushal Dave, Steve Lawrence, David M. Pennock, Mining the peanut gallery Proceedings of the twelfth international conference on World Wide Web - WWW '03. pp. 519- 528 ,(2003) , 10.1145/775152.775226
Erik van der Goot, Bruno Pouliquen, Mijail Kabadjov, Alexandra Balahur, Ralf Steinberger, Opinion Mining on Newspaper Quotations web intelligence. ,vol. 3, pp. 523- 526 ,(2009) , 10.1109/WI-IAT.2009.340