ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING: Simpler Approach to Analyze Emotion - Tapa blanda

Name: ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING: Simpler Approach to Analyze Emotion
Author: M., Mamatha; J., Thriveni
ISBN: 9786209114168

M., Mamatha ; J., Thriveni

9786209114168: ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING: Simpler Approach to Analyze Emotion

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ISBN 10: 6209114164 ISBN 13: 9786209114168

Editorial: LAP LAMBERT Academic Publishing, 2025

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Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer’s view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative.

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Editorial: LAP LAMBERT Academic Publishing
A�o de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 6209114164
ISBN 13: 9786209114168
Encuadernaci�n: Tapa blanda
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Enhanced Techniques for Sentiment Analysis Using Deep Learning

M., Mamatha; J., Thriveni

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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Enhanced Techniques for Sentiment Analysis Using Deep Learning

M., Mamatha; J., Thriveni

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING: Simpler Approach to Analyze Emotion

M., Mamatha; J., Thriveni

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING

Mamatha M.

Publicado por LAP LAMBERT Academic Publishing Okt 2025, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING : Simpler Approach to Analyze Emotion

Mamatha M.

Publicado por LAP LAMBERT Academic Publishing, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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Taschenbuch. Condici�n: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative. N� de ref. del art�culo: 9786209114168

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Enhanced Techniques for Sentiment Analysis Using Deep Learning (Paperback)

Mamatha M.

Publicado por LAP Lambert Academic Publishing, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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Paperback. Condici�n: new. Paperback. Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de ref. del art�culo: 9786209114168

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ENHANCED TECHNIQUES FOR SENTIMENT ANALYSIS USING DEEP LEARNING

Mamatha M.

Publicado por LAP LAMBERT Academic Publishing Okt 2025, 2025

ISBN 10: 6209114164 ISBN 13: 9786209114168

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Taschenbuch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 128 pp. Englisch. N� de ref. del art�culo: 9786209114168

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