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Topic Modelling on Pharmaceutical Incident Data

Author

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  • Deepu Dileep
  • Soumya Rudraraju
  • V. V. HaraGopal

Abstract

Focus of the current study is to explore and analyse textual data in the form of incidents in pharmaceutical industry using topic modelling. Topic modelling applied in the current study is based on Latent Dirichlet Allocation. The proposed model is applied on a corpus containing 190 incidents to retrieve key words with highest probability of occurrence. It is used to form informative topics related to incidents.

Suggested Citation

  • Deepu Dileep & Soumya Rudraraju & V. V. HaraGopal, 2021. "Topic Modelling on Pharmaceutical Incident Data," European Journal of Mathematics and Statistics, European Open Science, vol. 2(3), pages 92-96, June.
    • Handle: RePEc:epw:ejmath:v:2:y:2021:i:3:id:14033
    DOI: 10.24018/ejmath.2021.2.3.33
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