MACHINE LEARNING AND DEEP LEARNING TECHNIQUES - M., HUMERA kHANAM
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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.

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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
La Dra. M. Humera Khanam ha estado trabajando como profesora en el Departamento de Ciencias de la Computación e Ingeniería de la Universidad Sri Venkateswara, Tirupati, Andhra Pradesh. Tiene 24 años de experiencia docente. Sus áreas de interés incluyen la Inteligencia Artificial, el Aprendizaje Automático, el Procesamiento del Habla y del Lenguaje, la Interacción Persona-Ordenador y los Big Data.