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Sentiment Analysis Unveiled
ISBN/GTIN

Sentiment Analysis Unveiled

Techniques, Applications, and Innovations
BuchGebunden
CHF151.00

Beschreibung

Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is intended for professionals, researchers, and scientists in the field of Artificial Intelligence, and sentiments analysis. It will serve as a valuable resource for both beginners and experienced professionals in the field.
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Details

ISBN/GTIN978-1-032-82495-6
ProduktartBuch
EinbandGebunden
Erscheinungsdatum19.02.2025
Auflage1. A.
ReiheEdge AI in Future Computing
Seiten200 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 234 mm
IllustrationenFarb., s/w. Abb.
Artikel-Nr.33090163
KatalogBuchzentrum
Datenquelle-Nr.47606077
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Reihe

Autor

Neha Nandal has served as an Associate Professor in Computer Science and Engineering for over 8 years. Before that, she completed a PhD in Machine Learning. She is a lifetime member of IETA and of the IEEE Computer Society, Hyderabad Section. Her research interests are pattern recognition and machine learning.

Rohit Tanwar received his bachelor's degree and PhD, in CSE, from Kurukshetra University. He received his master's degree from the YMCA University of Science and Technology. He has over 10 years of experience in teaching and is currently an Associate Professor in the School of Computer Science at UPES Dehradun. His areas of research include network security, optimization techniques, human computing, soft computing, cloud computing, and data mining. He also supervises PhD research scholars in the fields of network security, automatic target recognition, and healthcare.

Varun Sapra is presently at the School of Computer Science at the University of Petroleum and Energy Studies. Dr. Sapra received his PhD in Computer Science & Engineering from Jagannath University. He has 17 years of combined experience in both industry and academia. Before joining academics, he was in the corporate sector and worked in companies like Cupid Software, WebOpac Applications, and CMA. His research areas include machine learning, decision support systems, case-based reasoning, and self-organizing maps.