Efficient Techniques for Sentiment Analysis from Social Media Data
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Savitha Hiremath, Manjula S H, Venugopal K R
Hiremath, SavithaDr. 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.
Bibliographische Angaben
- Autoren: Savitha Hiremath , Manjula S H , Venugopal K R
- 2021, 208 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203306207
- ISBN-13: 9786203306200
Sprache:
Englisch
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