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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24730
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| Paper Title: | Context-Aware Sentiment Analysis Using RoBERTa and BiLSTM for Social Media |
| Authors Name: | Ch.Divya , PULI NITISH KUMAR , AVULA SUNNY , KALLAGUNTA BALAJI , KOLA MANIDEEP |
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IJRTI_212442
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| Published Paper Id: | IJRTI2605079 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | In the era of digital communication, social media platforms have become a primary source of public opinion, generating vast amounts of unstructured textual data. Extracting meaningful insights from such data is challenging due to informal language, contextual dependencies, sarcasm, and the dynamic nature of user-generated content. This paper presents a Context-Aware Sentiment Analysis system that combines RoBERTa (Robustly Optimized BERT Pretraining Approach) and Bidirectional Long Short-Term Memory (BiLSTM) networks to improve sentiment classification accuracy. RoBERTa generates rich contextual embeddings capturing semantic meaning, which are subsequently processed by BiLSTM to capture sequential dependencies in both forward and backward directions. The system is trained and evaluated on the SST-2 benchmark dataset. Preprocessing steps including tokenization, noise removal, and normalization are applied to improve data quality. The hybrid architecture demonstrates strong performance in terms of accuracy, precision, recall, and F1-score, particularly in handling complex linguistic patterns such as sarcasm and implicit sentiment. |
| Keywords: | Sentiment Analysis, RoBERTa, BiLSTM, Transformer, Natural Language Processing, Deep Learning, SST-2, Context-Aware. |
| Cite Article: | "Context-Aware Sentiment Analysis Using RoBERTa and BiLSTM for Social Media", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a654-a660, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605079.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605079
Registration ID:212442
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a654-a660 Country: HYDERABAD, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605079 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605079 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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