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Paper Title: Analyzing social media remark using sentimental analysis
Authors Name: T.Devishree , K.S.Jeen Marseline
Unique Id: IJRTI1806032
Published In: Volume 3 Issue 6, June-2018
Abstract: Sentiment analysis is the process of determining whether a piece of writing is positive, negative, neutral. It is also known as opinion mining, deriving the opinion or attitude of speaker. Sentiment Analysis is contextual mining of texts which identifies and extracts subjective information in source material and helping a business to understand the social sentiment of their brand, product or service while monitoring online concentration. Sentiment Analysis is the most common text classification tool that analyses an incoming message and tells whether the underlying sentiment is positive, negative or neutral. This paper deals with two forms which is polarity-based, where pieces of texts are classified as either positive or negative, and valence-based, where the intensity of the sentiment is considered.
Keywords: Sentimental analysis, scores
Cite Article: "Analyzing social media remark using sentimental analysis", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 6, page no.167 - 170, June-2018, Available :
Downloads: 000700
Publication Details: Published Paper ID: IJRTI1806032
Registration ID:180277
Published In: Volume 3 Issue 6, June-2018
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ISSN Number: 2456 - 3315
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