Optimizing sentiment analysis of Indonesian texts: Enhancing deep learning models with genetic algorithm-based feature selection

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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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Bibliographic Details
Main Authors:	Siti, Mujilahwati, Noor Zuraidin, Mohd Safar, Ku Muhammad Naim, Ku Khalif, Nasyitah, Ghazalli
Format:	Article
Language:	English
Published:	Penerbit UTHM 2024
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/43886/ http://umpir.ump.edu.my/id/eprint/43886/1/Optimizing%20sentiment%20analysis%20of%20indonesian%20texts.pdf

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