NATURAL LANGUAGE PROCESSING (NLP) FOR DATA

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When it comes to extracting, analysing, and interpreting data across a wide range of fields, Natural Language Processing (NLP) has completely revolutionised the process. Through the process of allowing machines to comprehend, interpret, and synthesise human language, natural language processing (NLP) makes it possible to turn unstructured textual input into organised forms of information. A number of important natural language processing (NLP) techniques, including as tokenization, named entity recognition (NER), sentiment analysis, and text summarization, are discussed in this book, along with their applications in data-driven decision made. In addition, we highlight recent developments in deep learning models, such as transformer topologies (for example, BERT and GPT), which have increased natural language processing (NLP) performance dramatically. In addition, difficulties about the quality of the data, the presence of bias, and the effectiveness of the calculation are brought to light. In its conclusion, the article highlights the future potential of natural language processing (NLP) in domains such as healthcare, finance, and consumer analytics, all of which are areas in which data-driven insights play an important role.

Автор жөнүндө

Dr. Rajinder Kumar is a (Assistant Professor), in Fateh College, Rampura Phul, Bathinda Punjab, affiliated to Punjabi University, Patiala . He has completed MCA, M.Sc. (Math), and Ph.D., M.A Psychology. His demonstrating proficiency in programming languages such as C, C++, Java, and Python, as well as data mining using privacy preserving (PPDM), Artificial Intelligence, Machine Learning, Deep Learning, Cybersecurity and Cloud Computing. He received his Ph.D. under the topic “To study the area of data mining using privacy preserving (PPDM)." He has more than 14 years of experience in teaching and administration. He has authored 12 books in the fields of computer science, mathematics, and Higher Education. He has more than 29 papers published in national and international journals of repute. He has presented many papers in seminars and attended many faculty development programmes. "Natural Language Processing (NLP) is an essential tool for data analysis, especially when working with unstructured data, such as text. It allows you to process, analyze, and derive insights from large volumes of textual information". He has held various administrative posts like Officiating principal, registrar, dean academic, etc. E-mail tripathi71084@gmail

Harshitha Raghavan Devarajan is a distinguished expert in artificial intelligence (AI) and machine learning, with a career marked by groundbreaking contributions to the field. Her work spans diverse domains, including explainable AI, neural network optimization, and AI applications in healthcare, finance, and agriculture. Harshitha is an expert in Natural Language Processing (NLP), with a proven track record of developing and deploying advanced NLP solutions across industries. Her expertise spans the design and implementation of large language models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and generative AI systems, which have been instrumental in automating compliance mappings, enhancing financial research, and streamlining incident response workflows. With a deep understanding of NLP techniques, frameworks, and applications, Harshitha has consistently delivered innovative solutions that bridge cutting-edge research with practical, real-world challenges, establishing her as a leader in the field of NLP.

Dr. V Selvakumar - Assistant Professor in the Department of Mathematics and Statistics, Bhavan's Vivekananda College of Science, Humanities & Commerce. He has published 45 papers in different national and international journals, seven patents, and seven books to his credit. Also, presented sixteen papers at national and international conferences. His areas of interest are high-dimensional data analysis, time series modeling, biostatistics, actuarial science, machine learning, and predictive modeling.

Dr. Haewon Byeon received the Dr. degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AI-medicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books

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