MACHINE LEARNING AND DEEP LEARNING TECHNIQUES : Sentiment Analysis Using Machine Learning and Deep Learning Techniques

Humera Khanam M.

ISBN 10: 613891242X / ISBN 13: 9786138912422

Editore: Scholars' Press, 2022

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Codice articolo 9786138912422

Dati bibliografici

• Titolo: MACHINE LEARNING AND DEEP LEARNING TECHNIQUES : Sentiment Analysis Using Machine Learning and Deep Learning Techniques
• Editore: Scholars' Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 613891242X
• ISBN 13: 9786138912422
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 220 L x 150 A x 4 P (millimetri) 220 millimetri di larghezza per 150 millimetri di altezza per 4 millimetri di profondità
• Peso: 102 grammi

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Riassunto

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.