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ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
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Research Article

Simulation of Opinion Mining In Hindi Language Based on Natural Language Processing

Hridesh Gupta1, Pankaj Sharma2
  1. M.Tech (CS&E), School of Computing Science and Engineering, Galgotias University, Greater Noida, U.P, India
  2. Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, U.P, India
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Abstract

Microblogging is a very common mode of communication among internet users. Microblogs are real time content published by people and this content is generally laden with personal opinions about a variety of aspects in everyday life. This makes microblogs a rich source of data for opinion mining. We use a corpus from the popular microblogging website, Twitter [1]. We consider microblogs from the period before the Prime minister’s elections in India in 2014 to analyze the collective sentiment of the microbloggers, against and in favor of each Prime Minister candidate. We classify the microblogs to positive and negative opinion classes and we use machine learning classification techniques achieve this and translator translate the all language reviews and microblogs convert to Hindi language.

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