Gensim[1] is a topic-modeling package in Python for unsupervised learning. This implies that to be able to usefully apply it to a real business problem, the output generated must go to a supervised classifier. Presently, the most popular supervised learning packages are scikit-learn[2] (for simpler data analysis) and Keras[3] (for artificial neural networks). Hence, the objective of this project is to create wrappers for scikit-learn and Keras around all Gensim models for seamless integration of Gensim with these libraries.

Organization

Student

Chinmaya Pancholi

Mentors

  • Lev Konstantinovskiy
  • Radim Rehurek
  • Jayant Jain
  • Ivan Menshikh
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2017