Information Retrieval and Natural Language Processing / Studies in Big Data Bd.104 (PDF)
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This book gives a comprehensive view of graph theory in informational retrieval (IR) and natural language processing(NLP). This book provides number of graph techniques for IR and NLP applications with examples. It also provides understanding of graph theory basics, graph algorithms and networks using graph. The book is divided into three parts and contains nine chapters. The first part gives graph theory basics and graph networks, and the second part provides basics of IR with graph-based information retrieval. The third part covers IR and NLP recent and emerging applications with case studies using graph theory.
This book is unique in its way as it provides a strong foundation to a beginner in applying mathematical structure graph for IR and NLP applications. All technical details that include tools and technologies used for graph algorithms and implementation in Information Retrieval and Natural Language Processing with its future scope are explained in a clear and organized format.
Dr. Parikshit N. Mahalle obtained his B.E degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati, India, and ME degree in Computer Engineering from Savitribai Phule Pune University, Pune, India.
Dr. Archana S. Ghotkar obtained her BE degree in Computer Science and Engineering from Govt. Engineering College, Aurangabad, India, and ME degree in Computer Engineering from College of Engineering Pune (COEP), Savitribai Phule Pune University (SPPU), Pune, India. She completed her PhD in Computer Engineering from Savitribai Phule Pune University. She is working as an associate professor in the Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. She has more than 21 years of teaching and research experience. She has completed a sponsored research Project under Fast Track Young Scientist Scheme, funded by the Department of Science and Technology, Ministry of Science and Technology New Delhi, India. She is a reviewer for IEEE transaction on Sensors, IEEE Industrial Informatics, Springer-Nano-computing, International Journal on Human computer Interaction, IET- Computer Vision, IEEE Transactions on Systems, Man and Cybernetics. She has also remained a technical program committee member, reviewer for many International conferences. She has published more than 25 research publications having 549 citations and H index of 11 and I10 index of 13. She has received 2 best paper awards at international/national conferences. She has published three Indian Patents out of which 2 patents are granted. She has worked as a subject expert and an author for development of lab manuals for C++ programming and Question bank development projects under MSBTE Project, India. She is a recognized PhD guide of SPPU, Pune, and currently 1 PhD student is working under her in the domain of machine learning and natural language processing. Her recent research interests include computer vision, pattern recognition, machine Learning, human computer interaction, and natural language processing. Currently, she is focusing her research work on Indian sign language interpretation as well as Multilingual sign language translator.
- Autoren: Sheetal S. Sonawane , Parikshit N. Mahalle , Archana S. Ghotkar
- 2022, 1st ed. 2022, 176 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 981169995X
- ISBN-13: 9789811699955
- Erscheinungsdatum: 22.02.2022
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- Dateiformat: PDF
- Grösse: 6.09 MB
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