A jupyter notebook for topic-modelling, clustering and question-answering on COVID-19 research papers.

Notebook for natural language processing tasks.

This notebook attempts to do topic modelling on Cyberpunk 2077 YouTube videos using the LDA method.

Used Tf-Idf approach to extract important keywords from query. Applied Kmeans clustering over Document-Term-Matrix and Doc2vec vectors using gensims. Tried to cluster keywords using Kmeans and t-Sne approach. Here i put the notebooks , you can make changes as per your needs.