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Title: :  Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.
PaperId: :  26023
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26023
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Chetan Gopal PatilDr. D. Y. Patil College Of Arts, Commerce and Sciences.
Neekha Susan SabuDr. D. Y. Patil College Of Arts, Commerce and Sciences.
Pruthviraj Kishor ChavanDr. D. Y. Patil College Of Arts, Commerce and Sciences.

Abstract

Data Science
Hybrid Language Processing, Sentiment Analysis, Contextual Analysis, Natural Language Processing (NLP), Real-Time Data Processing, Social Media Analytics, Machine Learning, Rule-Based Systems, Transformer Models (BERT, GPT, etc.), Text Mining, Sarcasm Detection, Opinion Mining, Emotion Detection
Social media platforms generate vast amounts of unstructured data in real-time, which includes diverse expressions, slang, and informal language. Traditional Natural Language Processing (NLP) models face challenges in accurately interpreting such content. This research focuses on developing a hybrid language processing system combining rule-based methods, machine learning, and deep learning techniques for real-time sentiment and contextual analysis. The proposed system aims to achieve high accuracy by integrating the precision of rule-based systems, the adaptability of machine learning, and the contextual depth of deep learning models like BERT. It also addresses challenges such as sarcasm, idiomatic expressions, and regional slang, ensuring contextual understanding while retaining scalability for real-time data processing. The research demonstrates its applicability in areas like brand monitoring, crisis detection, and customer feedback analysis, showcasing the system's versatility across industries. Future directions include expanding capabilities to support multimodal analysis and multiple languages, ensuring ethical practices, and improving computational efficiency for global applicability

Citations

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IJARIIE Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. "Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms." International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 846-851
MLA Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. "Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 846-851.
APA Chetan Gopal Patil, Neekha Susan Sabu, & Pruthviraj Kishor Chavan. (2025). Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 846-851.
Chicago Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. "Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 846-851.
Oxford Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. 'Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 846-851. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Hybrid_Language_Processing_for_Real_Time_Sentiment_and_Contextual_Analysis_in_Social_Media_Platforms__ijariie26023.pdf (Accessed : 16 April 2025).
Harvard Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. (2025) 'Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 846-851IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Hybrid_Language_Processing_for_Real_Time_Sentiment_and_Contextual_Analysis_in_Social_Media_Platforms__ijariie26023.pdf (Accessed : 16 April 2025)
IEEE Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan, "Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 846-851, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Hybrid_Language_Processing_for_Real_Time_Sentiment_and_Contextual_Analysis_in_Social_Media_Platforms__ijariie26023.pdf [Accessed : 16 April 2025].
Turabian Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. "Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 (16 April 2025).
Vancouver Chetan Gopal Patil, Neekha Susan Sabu, and Pruthviraj Kishor Chavan. Hybrid Language Processing for Real-Time Sentiment and Contextual Analysis in Social Media Platforms.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : 16 April 2025]; 11(2) : 846-851. Available from: https://ijariie.com/AdminUploadPdf/Hybrid_Language_Processing_for_Real_Time_Sentiment_and_Contextual_Analysis_in_Social_Media_Platforms__ijariie26023.pdf
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