Gensim vs NLTK: What are the differences?
What is Gensim? A python library for Topic Modelling. It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
What is NLTK? It is a leading platform for building Python programs to work with human language data. It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
Gensim and NLTK are primarily classified as "NLP / Sentiment Analysis" and "Machine Learning" tools respectively.
Gensim is an open source tool with 9.65K GitHub stars and 3.52K GitHub forks. Here's a link to Gensim's open source repository on GitHub.
Athento, Index.co, and King's Digital Lab are some of the popular companies that use NLTK, whereas Gensim is used by MailMine.io, Mho, and Avito. NLTK has a broader approval, being mentioned in 15 company stacks & 17 developers stacks; compared to Gensim, which is listed in 3 company stacks and 5 developer stacks.