Dimitris Effrosynidis

Dimitris Effrosynidis

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Experienced Data Scientist with a Ph.D. in Data Science, blending 6+ years of research expertise with 4+ years in business. Proven track record in analytics, programming, and modeling. Published 13 papers, executed successful projects, and showcased skills through blogging and GitHub. Dedicated to ongoing learning and staying abreast of industry trends.

Skills

  • Python
  • MySQL
  • Data Mining
  • Data Analysis
  • Data Visualization
  • Machine Learning

Topic Modeling on my Watched Movies

less than 1 minute read

The project is available on my GitHub and online on Medium (Analytics Vidhya)

I rate all the movies I watch on IMDb and the website allows you to download a nice .csv with all your ratings. This .csv contains basic information about the movies. In order to perform topic modeling, I need the plots and/or summaries of the movies. I will grab this information from Wikipedia and use it to enrich the IMDb dataset. Then I will perform LDA for topic modeling on the plots+summaries of the movies to find 6 topics. The purpose of this project is to:

  • Use Wikipedia to grab movies and more specifically their Summaries and Plots.
  • Merge IMDb data with Wikipedia.
  • Build, Evaluate and Visualize an LDA model

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