Feature Substitution Using Latent Dirichlet Allocation for Text Classification

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Feature Substitution Using Latent Dirichlet Allocation for Text Classification

Text classification plays a pivotal role in natural language processing, enabling applications such as product categorization, sentiment analysis, spam detection, and document organization. Traditional methods, including bag-of-words and TF-IDF, often lead to high-dimensional feature spaces, increas...

書誌詳細
出版年:	International Journal of Advanced Computer Science and Applications
第一著者:	Mathivanan N.M.N.; Janor R.M.; Razak S.A.; Md. Ghani N.A.
フォーマット:	論文
言語:	English
出版事項:	Science and Information Organization 2025
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216865449&doi=10.14569%2fIJACSA.2025.01601105&partnerID=40&md5=abf0789c4fb07f118c7d1b6f7437a0d3

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