Fuzzy Topic Modeling On Persian News
Publish place: 9th Iranian Joint Congress on Fuzzy and Intelligent Systems
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
FJCFIS09_069
تاریخ نمایه سازی: 10 اردیبهشت 1401
Abstract:
In this paper, we investigate two versions of unsupervised clustering Latent Dirichlet Allocation (LDA) methods in original and fuzzy forms. Gibbs samplers are implemented for examining clustering performances on Persian news dataset. Our experimental results are showed that the fuzzy implementation of LDA performs better in text clustering tasks
Keywords:
Fuzzy Bag of Words , Fuzzy Latent Dirichlet Allocation (FLDA) , Natural Language Processing , Text Mining.
Authors
Vahid Heidari,
School of Engineering Science, University of Tehran, Tehran, Iran,
Seyed Mahmoud Taheri
School of Engineering Science, University of Tehran, Tehran, Iran,