Cosmetics entrepreneurship: an exploratory analysis using latent dirichlet allocation / Yanti Mustapha ...[et al.]
This study presents the key features of text mining based on Latent Dirichlet Allocation (LDA) and demonstrates its application by analyzing cosmetics entrepreneurship related articles. A framework is presented on how to use topic modeling on a collection of artic...
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| Main Authors: | , , |
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| Format: | Book Section |
| Language: | en |
| Published: |
Faculty of Business & Management, Universiti Teknologi MARA (UiTM) Cawangan Kedah
2020
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/47984/1/47984.pdf https://ir.uitm.edu.my/id/eprint/47984/ |
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| Summary: | This study presents the key features of text mining based on Latent Dirichlet Allocation (LDA) and demonstrates its application by analyzing cosmetics entrepreneurship related articles. A framework is presented on how to use topic modeling on a collection of articles for an exploratory topicbased literature review. Through Latent Dirichlet Allocation technique, this study is able to extract coherent research topics that are the focus of the 66 academic articles (years 1984 a2019) nalyzed. This study aims to demonstrate how topic models can enrich researcher's methodological toolboxes |
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