Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
Sentiment classification is a natural language processing task to identify opinions expressed in texts such as product or service reviews. In this work, we analyze the effects of different deep-learning model combinations, embedding methods, and tokenization approaches in sentiment classification. W...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10332170/ |