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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 (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 6, page no.167 - 170, June-2018, Available :http://www.ijrti.org/papers/IJRTI1806032.pdf
Downloads:
000204766
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator