Efficient Techniques for Sentiment Analysis from Social Media Data - Hiremath, Savitha;S H, Manjula;K R, Venugopal
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The enormous growth of Internet usage, number of social interactions, and activities in social networking sites has resulted in users adding their opinions on products, events, etc.,. However, due to a large amount of user-generated data, it is an expensive process to analyze the data manually. Sentiment Classifiers are used for automated analysis to extract sentiments and opinions conveyed in the user-comments. The Book includes insight into various efficient techniques for Sentiment Analysis and Opinion Mining from Social Media Data. All algorithms discussed give better Accuracy of sentiment classification.…mehr

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Produktbeschreibung
The enormous growth of Internet usage, number of social interactions, and activities in social networking sites has resulted in users adding their opinions on products, events, etc.,. However, due to a large amount of user-generated data, it is an expensive process to analyze the data manually. Sentiment Classifiers are used for automated analysis to extract sentiments and opinions conveyed in the user-comments. The Book includes insight into various efficient techniques for Sentiment Analysis and Opinion Mining from Social Media Data. All algorithms discussed give better Accuracy of sentiment classification.
Autorenporträt
Dr. Savitha Hiremath, currently working as an Assistant Professor in the Department of ISE at CMR Institute of Technology, Bengaluru.Dr. S H Manjula is a Professor in the Department of CSE at UVCE, Bangalore University. She is a Member of the Academic Senate at VTU, Belagavi.Dr. Venugopal K R is the Vice-Chancellor of Bangalore University.