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Probing the Sentiment Analysis Variants

Prabhdeep Kaur

Abstract


Abstract

Nowadays online social networks are so popular that they have become a major component of an individual’s social interaction. They are also emotionally-rich environments where users share their emotions, feelings, ideas and thoughts. Sentiment Analysis (SA) or conclusion mining has, as of late, turned into the focal point of numerous specialists, since examination of online content is useful and requested for statistical surveying, logical reviews from psychological and sociological viewpoint, political surveys, business knowledge, improvement of internet shopping frameworks, and so on. With the assistance of innovation, the web turns into a significant place for trading thoughts, internet learning, audits for an item or administration or films. It makes hard to record and comprehend the client feeling since audits over the web are accessible for millions for an item or administrations. Slant investigation is a rising territory for research to gather the subjective data in source material by applying natural language handling, computational linguistics and content examination and arrange the extremity of the supposition or conclusion. In basic words, we say that assumption investigation is vital for basic leadership process. This review article presents introduction to sentiment analysis; its various levels like, world level, sentence level, and document level; its methods and various research works done in previous years.

Keywords: Sentiment analysis, movies review, opinion mining, levels, methods, tweets

Cite this Article

Prabhdeep Kaur. Probing the Sentiment Analysis Variants Journal of Image Processing & Pattern Recognition Progress. 2019; 6(1): 1-5p.



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