Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Efficient Techniques for Sentiment Analysis from Social Media Data

Efficient Techniques for Sentiment Analysis from Social Media Data

Hiremath, Savitha
S. H., Manjula
K. R., Venugopal

Paperback

Technology & Engineering

ISBN10: 6203306207
ISBN13: 9786203306200
Publisher: Lap Lambert Academic Pub
Published: Jan 25 2021
Pages: 208
Weight: 0.69
Height: 0.48 Width: 6.00 Depth: 9.00
Language: English
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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