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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
SENTIMENT ANALYSIS AND OPINION MINING IN TWITTER USING LOGISTIC REGRESSION WITH R
Authors
Sunitha.C, Samyuktha.S, Shankaranarayanan.B, Aishwarrya.S
Keywords
Human Emotions, Microblogging, Sentiment Analysis, Sentiment Analysis principles,Sigmoid Function, Expermental result
Abstract
Over the past few years, there has been a huge growth in microblogging platforms such as Twitter. More tweets are being tweeted per day. There is a large amount of data and it is getting extremely difficult to get the relevant information from the data. There has been a vast number of research on how sentiments are conveyed in a genre such as online reviews about a movie, news articles, and blogs, but how sentiments are conveyed in case of unofficial languages and message-length constraints of microblogging are less analysed. In that case sentiment analysis comes into the picture. The collection of natural language processing that tries to identify and extract the opinion from the review of the respective blogs is called sentiment analysis. It has been proven helpful in many other domains, but will it also prove useful in Twitter?
IJCRT's Publication Details
Unique Identification Number - IJCRT22A6668
Paper ID - 222283
Page Number(s) - f458-f462
Pubished in - Volume 10 | Issue 6 | June 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Sunitha.C, Samyuktha.S, Shankaranarayanan.B, Aishwarrya.S, "SENTIMENT ANALYSIS AND OPINION MINING IN TWITTER USING LOGISTIC REGRESSION WITH R", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.f458-f462, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6668.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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