In this post, we discuss techniques to visualize the output and results from topic model (LDA) based on the gensim package. Contents [columnize] Introduction Import NewsGroups Dataset Tokenize Sentences and Clean Build the Bigram, Trigram Models and Lemmatize Build the Topic Model Presenting the Results What is the Dominant topic and its percentage contribution in […]
Tag Archives: LDA
Gensim Tutorial – A Complete Beginners Guide
Gensim is billed as a Natural Language Processing package that does ‘Topic Modeling for Humans’. But it is practically much more than that. It is a leading and a state-of-the-art package for processing texts, working with word vector models (such as Word2Vec, FastText etc) and for building topic models. [container] [columnize] 1. Introduction 2. What […]
