SENTIMENT ANALYSIS OF REVIEWS USING HADOOP
Abstract & Details
Research Area
Computer Engineering
Keywords
Sentiment Analysis
Reviews
Social Media
Big data
Hadoop.
Abstract
Sentiment analysis is concerned with the automatic extraction of sentiment related information from text. Although most sentiment analysis model addresses commercial tasks, such as product reviews, there is increasing interest in the effective dimension of the social media websites. The current sentiment analysis models are not ideally suited for service reviews. This model will collect opinions of service users from social media; it will identify sentiment and process it. Hence, such model will be successful in the sense of performing than current ones.
License
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Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Enock | Parul Institute of Engineering and Technology |
| 2 | Sumitra | Parul Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Enock & Sumitra (2016). SENTIMENT ANALYSIS OF REVIEWS USING HADOOP. International Journal of Advance Research and Innovative Ideas In Education, 2(2), 1094-1097.
MLA Style
Enock, and Sumitra. "SENTIMENT ANALYSIS OF REVIEWS USING HADOOP." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 2, 2016, pp. 1094-1097.
IEEE Style
Enock and Sumitra, "SENTIMENT ANALYSIS OF REVIEWS USING HADOOP," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 2, pp. 1094-1097, 2016.
Vancouver Style
Enock, Sumitra. SENTIMENT ANALYSIS OF REVIEWS USING HADOOP. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(2):1094-1097.
Harvard Style
Enock & Sumitra (2016) 'SENTIMENT ANALYSIS OF REVIEWS USING HADOOP', International Journal of Advance Research and Innovative Ideas In Education, 2(2), pp. 1094-1097.
Chicago Style
Enock and Sumitra. "SENTIMENT ANALYSIS OF REVIEWS USING HADOOP." International Journal of Advance Research and Innovative Ideas In Education 2, no. 2 (2016): 1094-1097.
Turabian Style
Enock and Sumitra. "SENTIMENT ANALYSIS OF REVIEWS USING HADOOP." International Journal of Advance Research and Innovative Ideas In Education 2, no. 2 (2016): 1094-1097.
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