How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis

Introduction to Vector Similarity Search

Learn what vector search is and the metrics pertinent to decide the distance (or similarity) between objects.

bjpcjp/gensim-lessons

Working files for gensim NLP tutorials.

Topic Modeling with Gensim (Python) - A Practical Guide

Topic Modeling is a technique to understand and extract the hidden topics from large volumes of text. Latent Dirichlet Allocation(LDA) is an algorithm for topic modeling, which has excellent implementations in the Python's Gensim package. This tutorial tackles the problem of…

Gensim: topic modelling for humans

Efficient topic modelling in Python