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Proposed Algorithm of Sentiment Analysis for Punjabi Text

Amandeep Kaur and Vishal Gupta
University Institute of Engineering and Technology, Chandigarh, India
Abstract—Sentiment Analysis is to identify and classify the opinions/emotions/sentiments in written text. Till date, English Language includes most of the research work in this area. In this paper, we discussed the various approaches used to accomplish the sentiment analysis and research work done for Indian Languages like Hindi, Bengali and Telugu. We proposed an algorithm by using subjective lexicon which is created by using Hindi Subjective Lexicon. Our approach proves good performance on the testing data. We compared the results with already existing approaches.

Index Terms—sentiment analysis, punjabi language, subjective lexicon. 

Cite: Amandeep Kaur and Vishal Gupta, "Proposed Algorithm of Sentiment Analysis for Punjabi Text," Journal of Emerging Technologies in Web Intelligence, Vol. 6, No. 2, pp. 180-183, May 2014. doi:10.4304/jetwi.6.2.180-183

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