Twitter Sentiment Analysis Android App

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. Key Words: Sentiment Analysis, NLP & ML, Hackathons, Skill Development, Collaboration.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-28
DOI
https://doi.org/10.55041/ijsrem43249
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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Twitter Sentiment Analysis Android App

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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Web Data Mining and Analysis
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Twitter Sentiment Analysis Android App

Jagruti Patel, Dhanraj Taware, Pranali Gawale, Darshan Vadnere, Vijayalakshmi Tadkal
article en

Abstract

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. Key Words: Sentiment Analysis, NLP & ML, Hackathons, Skill Development, Collaboration.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 93%
Web Data Mining and Analysis
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