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An Improved BERT and Syntactic Dependency Representation Model for Sentiment Analysis
Text representation of social media is an important task for users’ sentiment analysis. Utilizing the better representation, we can accurately acquire the real semantic information expressed by online users. However, existing works cannot achieve the best results. In this paper, we construct and imp...
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| Huvudupphovsmän: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Hindawi Limited
2022-01-01
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| Serie: | Computational Intelligence and Neuroscience |
| Länkar: | http://dx.doi.org/10.1155/2022/5754151 |
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