Gensim is a Python library for topic modeling, document indexing, and similarity retrieval with large corpora. The target audience is the natural language processing (NLP) and information retrieval (IR) community.

Features

  • All algorithms are memory-independent w.r.t. the corpus size (can process input larger than RAM, streamed, out-of-core),
  • Easy to plug in your own input corpus/datastream (trivial streaming API)
  • Easy to extend with other Vector Space algorithms (trivial transformation API)
  • Efficient multicore implementations of popular algorithms
  • Can run Latent Semantic Analysis and Latent Dirichlet Allocation on a cluster of computers
  • Documentation available

Project Samples

gensim Screenshot 1

Project Activity

See All Activity >

Categories

Machine Learning

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

Follow gensim

gensim Web Site

Other Useful Business Software
Build Securely on AWS with Proven Frameworks Icon
Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of gensim!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-07-30
Report inappropriate content