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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.

Produktbeschreibung
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.
Autorenporträt
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.