Arabic topic identification based on empirical studies of topic models

Autor: Naili, Marwa, Chaibi, Anja, Ghézala, Henda

Publikováno v: Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées
Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2017, Volume 27-2017-Special issue CARI 2016

This paper focuses on the topic identification for the Arabic language based on topic models. We study the Latent Dirichlet Allocation (LDA) as an unsupervised method for the Arabic topic identification. Thus, a deep study of LDA is carried out at tw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fd1e78ef2cac9e4cd6d6e0cb31dbee8f
https://arima.episciences.org/3102

A comparative study of Topic Identification on Newspaper and E-mail

Autor: Jean-Paul Haton, Kamel Smaïli, Armelle Brun, Brigitte Bigi, Imed Zitouni

Publikováno v: Proceedings of the 8th International Symposium on String Processing and Information Retrieval-SPIRE'01
Proceedings of the 8th International Symposium on String Processing and Information Retrieval-SPIRE'01, 2001, Laguna de San Rafael, Chili, pp.238-241
SPIRE
HAL

Colloque avec actes et comité de lecture. internationale.; International audience; This paper presents several statistical methods for topic identification on two kinds of textual data: newspaper articles and e-mails. Five methods are tested on thes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d34fe6ddc4ed656646cab4a52f91ba48
https://inria.hal.science/inria-00107535/file/A01-R-341.pdf