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This work is licensed under a Creative Commons Attribution 4.0 International License.
Topic Modeling With Latent Dirichlet Allocation(LDA) using Machine Learning
Karishma Borse, Pingale Divya Vijay, Mahajan Pornima Dattatraya, Patil Komal Vinod
DOI: 10.17148/IJARCCE.2024.13589
Abstract:
Topic modeling is a very efficient data mining technique for mining text, latent data identification, and establishing links between text documents and data. Many studies in this field have been published by researchers, and these findings have been implemented in linguistic science, software engineering, political science, and medicine, among other fields.Keywords:
Topic Modeling, Latent Dirichlet Allocation, Machine Learning, Applications.π 21 views
This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Karishma Borse, Pingale Divya Vijay, Mahajan Pornima Dattatraya, Patil Komal Vinod, βTopic Modeling With Latent Dirichlet Allocation(LDA) using Machine Learning,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13589