Investigating topic modeling techniques through evaluation of topics discovered in short texts data across diverse domains.

Muthusami, R; Mani Kandan, N; Saritha, K; Narenthiran, B; Nagaprasad, N; Ramaswamy, Krishnaraj

Muthusami, R; Mani Kandan, N; Saritha, K; Narenthiran, B; Nagaprasad, N; Ramaswamy, Krishnaraj.

Afiliação

Muthusami R; Department of Computer Applications, Dr. Mahalingam College of Engineering and Technology, Pollachi, Tamil Nadu, India.
Mani Kandan N; Department of Mechanical Engineering, P.A. College of Engineering and Technology, Pollachi, 642002, Tamil Nadu, India.
Saritha K; Department of Mathematics, P. A. College of Engineering and Technology, Pollachi, Tamil Nadu, India.
Narenthiran B; Department of Mechanical Engineering, Karpagam Academy of Higher Education, Eachanari, Coimbatore, 641021, Tamil Nadu, India.
Nagaprasad N; Department of Mechanical Engineering, ULTRA College of Engineering and Technology, Madurai, 625104, Tamil Nadu, India.
Ramaswamy K; Centre for Excellence-Indigenous Knowledge, Innovative Technology Transfer and Entrepreneurship, Dambi Dollo University, Dambi Dollo, Ethiopia. prof.dr.krishnaraj@dadu.edu.et.

Sci Rep ; 14(1): 12003, 2024 May 25.

Article em En | MEDLINE | ID: mdl-38796483

Palavras-chave

Clustering methods; Non-probabilistic topic model; Probabilistic topic model; Short-texts; Topic discovery; Topic evaluation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Índia País de publicação: Reino Unido

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