Graph Learning and Network Science for Natural Language Processing

Author:   Muskan Garg (Amity University Rajasthan, India) ,  Amit Kumar Gupta (Amity University Rajasthan, India) ,  Rajesh Prasad (MIT ADT University, Maharashtra)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032224565


Pages:   256
Publication Date:   28 December 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Graph Learning and Network Science for Natural Language Processing


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Author:   Muskan Garg (Amity University Rajasthan, India) ,  Amit Kumar Gupta (Amity University Rajasthan, India) ,  Rajesh Prasad (MIT ADT University, Maharashtra)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.660kg
ISBN:  

9781032224565


ISBN 10:   1032224568
Pages:   256
Publication Date:   28 December 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Muskan Garg is a postdoctoral research associate at the University of Florida, USA, whose research focuses on the problems of natural language processing (NLP), information retrieval, and social media analysis. She received her Masters and Ph.D. from Panjab University, India. Her current focus is on research and development of cutting-edge NLP approaches to solving problems of national and international importance and on initiation and broadening a new program in NLP (including a new NLP course series). Her current research interests are causal inference, mental health on social media, event detection, and sentiment analysis. Amit Kumar Gupta is an Assistant Professor at Manipal University Jaipur, India, and has more than 15 years of teaching as well as research experience. He has published more than 50 international research papers in the reputetable journal of indexing Scopus. He has also been guest editor of nine Scopus indexed journals. He has edited one book for IGI Global and organized three international conferences sponsored by the All India Council for Technical Education and the third phase of the Technical Education Quality Improvement Programme. His research areas are information security, machine learning, NLP and operating system CPU scheduling. Rajesh Prasad is a Professor of Computer Science and Engineering at MIT Art, Design and Technology University, Pune, India. He has more than 25 years of academic and research experience, during which he has been instrumental in developing course curriculums and contents. He is associated with several universities in different roles. He has a Ph.D. in Computer Engineering and 7 research scholars have been awarded Ph.D.s under his guidance. He has published more than 90 papers in international and national journals, and has 3 patents and 6 copyrights. His areas of interest include text and data analysis and speech processing. He has been associated with various industries for research collaborations. He is an active member of various professional societies.

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