A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks
Sentiment analysis is crucial in various systems such as opinion mining and predicting. Considerable research has been done to analyze sentiment using various machine learning techniques. However, the high error rates in these studies can reduce the entire system’s efficiency. We introduce a novel b...
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| Published in: | The Journal of supercomputing Vol. 76; no. 6; pp. 4414 - 4429 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
Springer US
01.06.2020
Springer Nature B.V |
| Subjects: | |
| ISSN: | 0920-8542, 1573-0484 |
| Online Access: | Get full text |
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