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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.

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What is Gensim?

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 suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.

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What tools integrate with Gensim?
What tools integrate with NLTK?
What are some alternatives to Gensim and NLTK?
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
FastText
It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
See all alternatives