About this document

Tijare 2020 J. Phys. Conf. Ser. 1706 012171 by Azwa Safrina is a document available to read on EtoBox.

This paper discusses various topic modeling methods such as LDA, LSI, and NMF to analyze unstructured data from micro-blogging sites like Twitter. It evaluates the accuracy of these models using metrics like perplexity, log-likelihood, and topic coherence, ultimately demonstrating that LDA provides better accuracy in topic formation. The research highlights the importance of preprocessing and the challenges of clustering large datasets effectively.

Author

Azwa Safrina

Language

EN