- Gensim Tutorial
- Gensim - Home
- Gensim - Introduction
- Gensim - Getting Started
- Gensim - Documents & Corpus
- Gensim - Vector & Model
- Gensim - Creating a Dictionary
- Creating a bag of words (BoW) Corpus
- Gensim - Transformations
- Gensim - Creating TF-IDF Matrix
- Gensim - Topic Modeling
- Gensim - Creating LDA Topic Model
- Gensim - Using LDA Topic Model
- Gensim - Creating LDA Mallet Model
- Gensim - Documents & LDA Model
- Gensim - Creating LSI & HDP Topic Model
- Gensim - Developing Word Embedding
- Gensim - Doc2Vec Model
- Gensim Useful Resources
- Gensim - Quick Guide
- Gensim - Useful Resources
- Gensim - Discussion
Gensim Tutorial
Gensim = “Generate Similar” is a popular open source natural language processing library used for unsupervised topic modeling. It uses top academic models and modern statistical machine learning to perform various complex tasks such as Building document or word vectors, Corpora, performing topic identification, performing document comparison (retrieving semantically similar documents), analysing plain-text documents for semantic structure.
Audience
This tutorial will be useful for graduates, post-graduates, and research students who either have an interest in Natural Language Processing (NLP), Topic Modeling or have these subjects as a part of their curriculum. The reader can be a beginner or an advanced learner.
Prerequisites
The reader must have basic knowledge about NLP and should also be aware of Python programming concepts.