Gensim

Gensim

Radim Řehůřek
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About

Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.

About

PartiQL's extensions to SQL are easy to understand, treat nested data as first class citizens and compose seamlessly with each other and SQL. This enables intuitive filtering, joining and aggregation on the combination of structured, semistructured and nested datasets. PartiQL enables unified query access across multiple data stores and data formats by separating the syntax and semantics of a query from the underlying format of the data or the data store that is being accessed. It enables users to interact with data with or without regular schema. PartiQL syntax, semantics, the embeddable reference interpreter, CLI, test framework, and tests are licensed under the Apache License, version 2.0, allowing you to freely use, copy, and distribute your changes under the terms of your choice.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning practitioners seeking a solution for topic modeling and semantic analysis of large text corpora

Audience

Developers wanting a powerful Database solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Radim Řehůřek
Founded: 2009
Czech Republic
radimrehurek.com/gensim/

Company Information

PartiQL
partiql.org

Alternatives

GloVe

GloVe

Stanford NLP

Alternatives

GraphDB

GraphDB

Ontotext
word2vec

word2vec

Google

Categories

Categories

Integrations

AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
Amazon Redshift
C
Cython
NumPy
Python
SQLAI.ai
fastText
word2vec

Integrations

AWS IoT
Amazon DynamoDB
Amazon Quantum Ledger Database (QLDB)
Amazon Redshift
C
Cython
NumPy
Python
SQLAI.ai
fastText
word2vec
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