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...
| Published in: | International Journal of Advanced Computer Science and Applications |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2025
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216865449&doi=10.14569%2fIJACSA.2025.01601105&partnerID=40&md5=abf0789c4fb07f118c7d1b6f7437a0d3 |