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.
Gensim is a tool in the NLP / Sentiment Analysis category of a tech stack.
Gensim is an open source tool with 9.7K GitHub stars and 3.5K GitHub forks. Here’s a link to Gensim's open source repository on GitHub
Who uses Gensim?
3 companies reportedly use Gensim in their tech stacks, including MailMine.io, Learning Backend, and Avito.
6 developers on StackShare have stated that they use Gensim.
Why developers like Gensim?
Here’s a list of reasons why companies and developers use Gensim
Be the first to leave a pro
- platform independent
- converters & I/O formats
Gensim Alternatives & Comparisons
What are some alternatives to Gensim?
See all alternatives
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
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.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.