"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Social media is used to categorise products or services, but analysing vast comments is time-consuming. Researchers use sentiment analysis via natural language processing, evaluating methods and results conventionally through literature reviews and assessments. However, our approach diverges by offe...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Springer Nature
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41421/1/Challenges%20and%20future%20in%20deep%20learning%20for%20sentiment%20analysis.pdf http://umpir.ump.edu.my/id/eprint/41421/2/Challenges%20and%20future%20in%20deep%20learning%20for%20sentiment%20analysis_A%20comprehensive%20review%20and%20a%20proposed%20novel%20hybrid%20approach_ABS.pdf http://umpir.ump.edu.my/id/eprint/41421/ https://doi.org/10.1007/s10462-023-10651-9 https://doi.org/10.1007/s10462-023-10651-9 |
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