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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM43249
Volume:
9 |
3 |
Mar 2025
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.
Social networking websites like Twitter generate a vast volume of text data every day, and sentiment analysis is a critical task in Natural Language Processing (NLP). The Twitter Sentiment Analysis app is perfect for NLP and machine learning learners, providing a simple-to-use interface to conduct sentiment analysis from tweets. In contrast to other approaches that rely on API access, this app employs OCR (Optical Character Recognition) to pull text from tweet screenshots, which is more user-friendly and accessible.
KEYWORDS
Publication Date
3/28/2025
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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No funding information available for this research.
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