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Reductive Bias with Gated Recurrent Sentiment Analysis for Social Media Texts Using the Twitter Dataset Cover

Reductive Bias with Gated Recurrent Sentiment Analysis for Social Media Texts Using the Twitter Dataset

International Journal on Smart Sensing and Intelligent Systems
Volume 19 (2026): Issue 1 (January 2026)
By: D. Srilatha and  Harikrisha Bommala  
Open Access
|Mar 2026
Authors

Authors

D. Srilatha

2022pcse017@bestiu.edu.in

Research Scholor, Computer Science and Engineering, Bharatiya Engineering Science and Technology Innovation University, Anantapur, India

Harikrisha Bommala

haribommala@kgr.ac.in

Professor, Computer Science and Engineering, Reddy College of Engineering and Technology, Moinabad, India
DOI: https://doi.org/10.2478/ijssis-2026-0015 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Jul 9, 2025
Published on: Mar 5, 2026
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
gated recurrent unit,
log term frequency-modified inverse class frequency,
principal component analysis,
reductive bias,
sentiment analysis
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2026 D. Srilatha, Harikrisha Bommala, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 19 (2026): Issue 1 (January 2026)
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