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Akshita Jaitly
Sachi Ahuja


Sentiment Analysis is one of the trending topics in the Information and Technology field. In this paper, we tried to increase the efficiency of sentiment analysis. To achieve maximum accuracy, a sentence level analysis was performed by taking into account oxymoron (i.e. Figure of speech in which apparently contradictory terms appear in conjunction). We addressed the problem of sentiment analysis in twitter by classifying the tweets according to the sentiment expressed in them.



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Kim S-M, Hovy E (2004) Determining the sentiment of opinions In: Proceedings of the 20th international conference on Computational Linguistics, page 1367. Association for Computational Linguistics, USA.

Liu B (2010) Sentiment analysis and subjectivity In: Handbook of Natural Language Processing, Second Edition. Taylor and Francis Group, Boca.

Liu B, Hu M, Cheng J (2005) Opinion observer: Analysing and comparing opinions on the web In: Proceedings of the 14th International Conference on World Wide Web, WWW ’05, 342–351. ACM, New York, NY, USA.

Pak A, Paroubek P (2010) Twitter as a corpus for sentiment analysis and opinion mining In: Proceedings of the Seventh conference on International Language Resources and Evaluation. European Languages Resources Association, Valletta, Malta.

Pang B, Lee L (2004) A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts In Proceedings of the 42Nd Annual Meeting on Association for Computational Linguistics, ACL ’04. Association for Computational Linguistics, Stroudsburg, PA, USA.

Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Inf Retr2 (1-2): 1–135.

Turney PD (2002) Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, ACL ’02, 417–424. Association for Computational Linguistics, Stroudsburg, PA, USA.

Whitelaw C, Garg N, Argamon S (2005) Using appraisal groups for sentiment analysis In Proceedings of the 14th ACM International Conference on Information and Knowledge Management, CIKM ’05, 625–631. ACM, New York, NY, USA.