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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Survey On Text Categorization Using Sentiment Analysis

[Full Text]

 

AUTHOR(S)

Chaitanya Bhagat, Dr. Deepak Mane

 

KEYWORDS

K-Nearest Neighbors, Machine Learning, Naïve Bayes, sentiment analysis, Twitter.

 

ABSTRACT

Twitter is a blog website online on internet which offers the platform to humans to experience and talk their perspectives about troubles, occurrences, merchandise and exclusive mind. Sentiment Analysis is an open-ended subject of research in the text mining area. Using several systems gaining knowledge of algorithms for evaluation of sentiments from exceptional tweets having a most of one hundred forty phrases consistent with a tweet and proposes a studies technique for improvisation of class. This survey paper tries to provide an entire evaluation of the modern replace in this discipline. The most important goal of this survey is to give a complete picture of ways Machine studying strategies are used in Sentiment Analysis to get better effects in short details. Also, we will have a look at basic emotion’s classification into ternary lessons i.e. Fantastic, negative, neutral the usage of exclusive device learning algorithm and type into their subclasses i.e. Love, happiness, fun, neutral, hate, sadness, and anger the use of equal system getting to know algorithms.

 

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