Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection
Automatic text classification techniques are employed in a multitude of real-world applications, including the filtering of unsolicited messages, the analysis of sentiment, and the categorization of news items. The primary challenge in text representation is the high dimensionality, which can increa...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit UTHM
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/43886/1/Optimizing%20sentiment%20analysis%20of%20indonesian%20texts.pdf http://umpir.ump.edu.my/id/eprint/43886/ https://doi.org/10.30880/jscdm.2024.05.02.016 |
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