Topic Discovery About Economy During COVID-19 Pandemic from Spanish Tweets

Author:

Lezama Sánchez Ana LauraORCID,Tovar Vidal MireyaORCID,Reyes-Ortiz José A.ORCID

Publisher

Springer International Publishing

Reference18 articles.

1. Agüero-Torales, M.M., Vilares, D., López-Herrera, A.G.: Discovering topics in twitter about the COVID-19 outbreak in Spain. Procesamiento del Lenguaje Natural 66, 177–190 (2021)

2. Älga, A., Eriksson, O., Nordberg, M.: Analysis of scientific publications during the early phase of the COVID-19 pandemic: topic modeling study. J. Med. Internet Res. 22(11), e21559 (2020)

3. Amara, A., Hadj Taieb, M.A., Ben Aouicha, M.: Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis. Appl. Intell. 51(5), 3052–3073 (2021)

4. Anaya, L.H.: Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers. ERIC (2011)

5. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

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