Comparative analysis of LDA, LSA and NMF topic modelling for web data
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0178761
Reference8 articles.
1. Diego Buenaño-Fernandez, Mario gonzález, David gil, and Sergio luján-mora “Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach”, February 2020.
2. Nuutthapachr Sethasathien, Patipan Prasertsom, “Research Topic Modeling: A Use Case for Data Analytics on Research Project Data”, Bangkok, Thailand, 2020.
3. Vidya Vukanti, Anu Jose, “Business Analytics: A case-study approach using LDA topic modelling”, CMR Institute of Technology, 2021.
4. Isti Surjandari, Asma Rosyidah, Zulkarnain, “Enrico Laoh Mining Web Log Data for News Topic Modeling Using Latent Dirichlet Allocation”, 2018.
5. Nitin Sukhija, Mahidhar Tatineni, Nicole Brown, Mark Van Moer, Paul Rodriguez, and Spencer Callicott, “Topic Modeling and Visualization for Big Data in Social Sciences”, 2016.
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