Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
Details
Sentiment Analysis has become a hot-trend topic of scientific and market research in the field of Natural Language Processing (NLP) and Machine Learning. Sentiment classification is the automated process of identifying opinions in a text and labeling them as positive, negative, or neutral, based on the emotions customers express within them. Sentiment analysis, also known as opinion mining, is an important natural language processing task. This process determines the sentiment orientation of a text.
Autorentext
Dr. M. Humera Khanam has been working as a Professor, in the Department of Computer Science and Engineering, Sri Venkateswara Univ., Tirupati, Andhra Pradesh. She has 24 years of teaching experience. Her areas of interest include Artificial Intelligence, Machine Learning, Speech and Language Processing, Human-Computer Interaction, and Big data.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786138912422
- Genre Maths
- Anzahl Seiten 56
- Herausgeber Scholars' Press
- Größe H220mm x B150mm
- Jahr 2022
- EAN 9786138912422
- Format Kartonierter Einband
- ISBN 978-613-8-91242-2
- Titel MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
- Autor HUMERA kHANAM M.
- Untertitel Sentiment Analysis Using Machine Learning and Deep Learning Techniques.DE
- Sprache Englisch