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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM25227
Volume:
7 |
8 |
Aug 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Due to the emergence of social media becoming a common platform for sharing of views and day to day activities, more researches are aimed at extracting data out of social media data mining, one subset of which is text mining of social media data such as twitter, facebook, Whatsapp etc. Due the enormous amount of data available with the websites, they become a natural choice for text mining and/or opinion mining. This paper presents the necessity for text cum opinion mining based Sentiment analysis and its various associated techniques. It is expected that the paper will pave a path for future researchers to carry forward their research in a direction which best suits their application
KEYWORDS
Publication Date
8/15/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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