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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.

Produktbeschreibung
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.
Autorenporträt
I am grateful to my research supervisor Dr. Thriveni J for giving me an opportunity to pursue my research under her guidance and to esteemed institution "University Visvesvaraya College of Engineering (UVCE)", Bangalore for providing me all the facilities in the Department of Computer Science and Engineering.