Evaluating Topic Modeling Pre-processing Pipelines for Portuguese Texts

Author:

Júnior Antônio Pereira De Souza1,Cecilio Pablo1,Viegas Felipe2,Cunha Washington2,Albergaria Elisa Tuler De1,Rocha Leonardo Chaves Dutra Da1

Affiliation:

1. Departamento de Ciência da Computação, Universidade Federal de São João del-Rei, Brazil

2. Departamento de Ciência da Computação, Universidade Federal de Minas Gerais, Brazil

Funder

Fapemig

CAPES

Aws

CNPq

Publisher

ACM

Reference33 articles.

1. Using topic modeling to find main discussion topics in brazilian political websites

2. Generating Cohesive Semantic Topics from Latent Factors

3. Latent Dirichlet Allocation;Blei M.;J. Mach. Learn. Res. 3, null,2003

4. Bradley Carron-Arthur , Julia Reynolds , Kylie Bennett , Anthony Bennett , and Kathleen  M Griffiths . 2016. What’s all the talk about? Topic modelling in a mental health Internet support group. BMC psychiatry 16, 1 ( 2016 ), 367. https://doi.org/10.1186/s12888-016-1073-5 Bradley Carron-Arthur, Julia Reynolds, Kylie Bennett, Anthony Bennett, and Kathleen M Griffiths. 2016. What’s all the talk about? Topic modelling in a mental health Internet support group. BMC psychiatry 16, 1 (2016), 367. https://doi.org/10.1186/s12888-016-1073-5

5. Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling

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