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A Survey on Sentiment Analysis and Opinion Mining Techniques

Amandeep Kaur and Vishal Gupta
University Institute of Engineering and Technology, Chandigarh, India
Abstract—Sentiment Analysis (SA), an application of Natural Language processing (NLP), has been witnessed a blooming interest over the past decade. It is also known as opinion mining, mood extraction and emotion analysis. The basic in opinion mining is classifying the polarity of text in terms of positive (good), negative (bad) or neutral (surprise). Mood Extraction automates the decision making performed by human. It is the important aspect for capturing public opinion about product preferences, marketing campaigns, political movements, social events and company strategies. In addition to sentiment analysis for English and other European languages, this task is applied on various Indian languages like Bengali, Hindi, Telugu and Malayalam. This paper describes the survey on main approaches for performing sentiment extraction.

Index Terms—natural languages processing, sentiment analysis, indian languages

Cite: Amandeep Kaur and Vishal Gupta, "A Survey on Sentiment Analysis and Opinion Mining Techniques," Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 4, pp. 367-371, November 2013. doi:10.4304/jetwi.5.4.367-371
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