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portada Efficient Techniques for Sentiment Analysis from Social Media Data
Type
Physical Book
Author
Publisher
Language
English
Pages
208
Format
Paperback
Dimensions
22.9x15.2x1.2 cm
Weight
0.31 kg.
ISBN13
9786203306200
Categories

Efficient Techniques for Sentiment Analysis from Social Media Data

Savitha Hiremath (Author) · Manjula S. H. (Author) · Venugopal K. R. (Author) · LAP Lambert Academic Publishing · Paperback

Efficient Techniques for Sentiment Analysis from Social Media Data - Hiremath, Savitha ; S. H., Manjula ; K. R., Venugopal

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Synopsis "Efficient Techniques for Sentiment Analysis from Social Media Data"

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

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