Natural Language Processing for Sentiment Analysis Techniques and Applications

Authors

  • T. Venkata Subbamma Assistant Professor, Department of CSE-DS, Anurag University, India
  • Nagesh Mantravadi Associate Professor, Department of ECE, Koneru Lakshmaiah Education Foundation (Deemed to be University), India
  • Angel Ruth Shalom Assistant Professor, Department of English (Faculty of Humanities), Mangalayatan University Jabalpur, India
  • Niket Tajne Assistant Professor, Symbiosis School for Online and Digital Learning, SIU Knowledge Village, India
  • Gopu Sreenivasulu Professor and HOD, Department of Civil Engineering, Rajeev Gandhi Memorial College of Engineering & Technology (Autonomous), India
  • Veer Sudheer Goud Associate Professor, Department of AI & DS, St. Martin's Engineering College, India

DOI:

https://doi.org/10.63278/1356

Keywords:

Natural Language Processing, Sentiment Analysis, Machine Learning, Deep Learning, Transformer Models, Text Classification, Opinion Mining.

Abstract

Sentiment analysis expert systems have gained intensive market attention because of the vast increase in customer-generated online feedback through reviews and social media posts and feedback. The study examines basic methods of sentiment analysis which consist of lexicon-based approaches as well as machine learning and deep learning systems. The paper evaluates practical uses of sentiment analysis along with discussing current field obstacles and prospective research paths for the upcoming years. New NLP technology particularly using transformer models improves sentiment analysis systems while enhancing their precision and speed.

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How to Cite

T. Venkata Subbamma, Nagesh Mantravadi, Angel Ruth Shalom, Niket Tajne, Gopu Sreenivasulu, and Veer Sudheer Goud. 2025. “Natural Language Processing for Sentiment Analysis Techniques and Applications”. Metallurgical and Materials Engineering 31 (3):194-200. https://doi.org/10.63278/1356.

Issue

Vol. 31 No. 3 (2025)

Section

Research

License

Copyright (c) 2025 T. Venkata Subbamma, Nagesh Mantravadi, Angel Ruth Shalom, Niket Tajne, Gopu Sreenivasulu, Veer Sudheer Goud

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