Del i serien SpringerBriefs in Applied Sciences and Technology

Sentiment Analysis and its Application in Educational Data Mining

Häftad, Engelska, 2024

789 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data.

Produktinformation

Utgivningsdatum2024-04-23
Mått155 x 235 x 7 mm
Vikt195 g
FormatHäftad
SpråkEngelska
SerieSpringerBriefs in Applied Sciences and Technology
Antal sidor97
Upplaga2024
FörlagSpringer Verlag, Singapore
ISBN9789819724734

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

Dr. Soni Sweta, Ph.D. in Computer Science and Engineering from BIT, Mesra, Ranchi, is presently working as an assistant professor in the Department of Computer Science and Engineering at Mukesh Patel School of Technology, Management, and Engineering, NMIMS, Mumbai Campus, Mumbai, Maharashtra. She received her Master of Technology degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal. She is presently guiding many Ph.D., M.Tech, M.C.A, and B.Tech. Scholars. Previously, she had guided many M.Tech., M.C.A, B.C.A, and B.Tech. students in their dissertation and final project work. Her present areas of research are artificial intelligence, natural language processing, soft computing, data mining, machine learning, data science, etc. Being a member of IEEE and life member of CSI(India), she is associated with few reputed journals as a reviewer and member of editorial board. She has acted as a technical committee member in many reputed conferences so far.

Chapter 1: Sentiment Analysis in Natural Language Processing.- Chapter 2: An Overview of Educational Data Mining.- Chapter 3: Impact of Sentiment Analysis in Education Sector.- Chapter 4: Techniques and Approaches in Sentiment Analysis.- Chapter 5: Machine Learning with Sentiment Analysis.- Chapter 6: Incorporation of Sentiment Analysis with Educational Data Mining.- Chapter 7: Preformation Evaluation using Sentiment Analysis.