Published on: May 2026
CROSS PLATFORM POLITICAL SENTIMENTAL ANALYSIS USING DEEP LEARNING
Pooja K V
Dr. Deepak K Sinha
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Abstract
Keywords: Sentiment Analysis, XLM-RoBERTa, Deep Learning, Karnataka Elections, NLP, Dashboard.
How to Cite this Paper
V, P. K. (2026). Cross Platform Political Sentimental Analysis Using Deep Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.178
V, Pooja. "Cross Platform Political Sentimental Analysis Using Deep Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.178.
V, Pooja. "Cross Platform Political Sentimental Analysis Using Deep Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.178.
References
- Pak and P. Paroubek, "Twitter as a Corpus for Sentiment Analysis and Opinion Mining," in Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC), Valletta, Malta, May 2010, pp. 1320–1326.
- Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe, "Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment," in Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, Washington, DC, USA, 2010, pp. 178–185.
- Devlin, M. W. Chang, K. Lee, and K. Toutanova, "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding," in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, MN, USA, Jun. 2019, pp. 4171–4186.
- Conneau, K. Khandelwal, N. Goyal, V. Chaudhary, G. Wenzek, F. Guzman, E. Grave, M. Ott, L. Zettlemoyer, and V. Stoyanov, "Unsupervised Cross-lingual Representation Learning at Scale," in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Online, Jul. 2020, pp. 8440–8451.
- J. Hutto and E. Gilbert, "VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text," in Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, Ann Arbor, MI, USA, Jun. 2014, pp. 216–225.
- Pang and L. Lee, "Opinion Mining and Sentiment Analysis," Foundations and Trends in Information Retrieval, vol. 2, no. 1–2, pp. 1–135, Jan. 2008.
- Rosenthal, N. Farra, and P. Nakov, "SemEval-2017 Task 4: Sentiment Analysis in Twitter," in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, Aug. 2017, pp. 502–518.
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- •Published on: May 07 2026
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