This blog summarizes the work that I did for Google Summer of Code 2017 with Gensim. My work during the summer was divided into two parts: integrating Gensim with scikit-learn & Keras and adding a Python implementation of fastText model to Gensim. Gensim integration with scikit-learn and Keras Gensim is a topic modelling and information extraction library which mainly serves unsupervised …
Parul’s GSoC 2017 summary: Training and Topic visualizations in gensim
This blog post summarizes my work done during the Google Summer of Code 2017. My task was to implement topic modeling visualizations which could help users to interactively analyze their topic models and get the best out of their data. I worked on adding two types of visualizations: 1. To monitor the training process of LDA with the help of …