Gensim

Gensim

Radim Řehůřek
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About

Baidu Natural Language Processing, based on Baidu’s immense data accumulation, is devoted to developing cutting-edge natural language processing and knowledge graph technologies. Natural Language Processing has open several core abilities and solutions, including more than ten kinds of abilities such as sentiment analysis, address recognition, and customer comments analysis. Based on word segmentation, part-of-speech tagging, and named entity recognition technology, lexical analysis allows you to locate basic language elements, get rid of ambiguity, and support accurate understanding. Based on deep neural networks and massive high-quality data on the internet, semantic similarity is possible to calculate the similarity of two words through vectorization of words, meeting the business scenario requirements for high precision. Word vector representation can calculate texts through the vectorization of words and it can help you quickly complete semantic mining.

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.

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

Anyone searching for a solution to manage and optimize their sentiment analysis, address recognition, and semantic mining operations

Audience

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

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

No information available.
Free Version
Free Trial

Pricing

Free
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

Baidu
Founded: 2000
China
intl.cloud.baidu.com/product/nlp.html

Company Information

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

Alternatives

Gensim

Gensim

Radim Řehůřek

Alternatives

GloVe

GloVe

Stanford NLP
word2vec

word2vec

Google
word2vec

word2vec

Google
ERNIE 5.0

ERNIE 5.0

Baidu
ERNIE 4.5

ERNIE 4.5

Baidu

Categories

Categories

Integrations

C
Cython
NumPy
Python
fastText
word2vec

Integrations

C
Cython
NumPy
Python
fastText
word2vec
Claim Baidu Natural Language Processing and update features and information
Claim Baidu Natural Language Processing and update features and information
Claim Gensim and update features and information
Claim Gensim and update features and information