Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{195204,
author = {Dr. M. Dhanasekar and MrA.Venkatesh and Mr. A. Rikesh and Mr.D.Siva prakasam},
title = {Natural Language Processing for Automated Text Analysis},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {10},
pages = {7806-7809},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195204},
abstract = {Natural Language Processing (NLP) is a field of study that combines artificial intelligence, computational linguistics, and linguistics to enable computers to understand, interpret, and generate human language. NLP focuses on developing algorithms and techniques to process and analyze natural language text or speech data, encompassing language understanding, sentiment analysis, machine translation, question answering, information extraction, and text generation.
NLP bridges the gap between human communication and machine understanding, enabling systems to read, interpret, and make sense of the languages humans speak and write. As data-driven approaches have matured, NLP has become one of the most impactful areas of artificial intelligence research and industry application worldwide.},
keywords = {},
month = {March},
}
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