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A comprehensive study on Frequent Pattern Mining and Clustering categories for topic detection in Persian text stream
March 18, 2024, 4:47 a.m. | Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani
cs.CL updates on arXiv.org arxiv.org
Abstract: Topic detection is a complex process and depends on language because it somehow needs to analyze text. There have been few studies on topic detection in Persian, and the existing algorithms are not remarkable. Therefore, we aimed to study topic detection in Persian. The objectives of this study are: 1) to conduct an extensive study on the best algorithms for topic detection, 2) to identify necessary adaptations to make these algorithms suitable for the Persian …
abstract algorithms analyze arxiv clustering cs.cl detection language mining process studies study text type
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