Sentiment analysis approach for opinion estimation from text a review| International Journal of Innovative Science and Research Technology

Sentiment Analysis Approach for Opinion Estimation from Text: A Review

Authors : Nikita Dipak Bachhav, Prashant Nitnaware

Volume/Issue : Volume 4 - 2019, Issue 8 - August

Google Scholar : https://goo.gl/DF9R4u

Abstract : Sentiment Analysis is a language processing technique that categorizes textual expressions into positive, negative or neutral. This paper provides overview of sentiment analysis and its powerful algorithms to extract the actual emotions from the given text, along with the applications and its important tools. This paper also represents comparative study of all algorithms and their application on social media platforms.

Keywords : Sentiment Analysis; Polarity; Machine Learning.

Sentiment Analysis is a language processing technique that categorizes textual expressions into positive, negative or neutral. This paper provides overview of sentiment analysis and its powerful algorithms to extract the actual emotions from the given text, along with the applications and its important tools. This paper also represents comparative study of all algorithms and their application on social media platforms.

Keywords : Sentiment Analysis; Polarity; Machine Learning.

Video Explanation for Published paper

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