LexVec

LexVec

Alexandre Salle
Modeller

Modeller

Paragon Business Solutions
+
+

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About

LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. Evaluations demonstrate that LexVec matches or outperforms other models like word2vec in terms of word similarity and analogy tasks. The implementation is open source under the MIT License and is available on GitHub.

About

Over thirty years of credit risk modelling expertise wrapped into model building software for today’s age of machine learning. Modeller is a feature-rich, flexible, interactive and transparent tool that helps organizations get the best from their analytical teams. It supports a choice of techniques, the rapid development of powerful models, full explainability and the advancement of less experienced team members. Choose from numerous modeling techniques, including machine learning, for optimal predictive accuracy – especially on datasets with multicollinearity and complex interrelationships. Create industry-standard continuous and binary target models at the click of a button. Use decision tree modeling with CART and CHAID trees. Choose from logistic regression, elastic net models, survival analysis (Cox PH), random forests, XGBoost, stochastic gradient descent and more. Export options for implementation in other scoring and decisioning software include SAS, SQL, PMML and Python.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Computational linguists and NLP researchers searching for a tool to improve their semantic analysis and language modeling

Audience

Banks, lenders, fintechs, all organizations that develop and use analytic models to make decisions

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Alexandre Salle
Brazil
github.com/alexandres/lexvec

Company Information

Paragon Business Solutions
Founded: 1991
United Kingdom
www.credit-scoring.co.uk/modeller

Alternatives

GloVe

GloVe

Stanford NLP

Alternatives

word2vec

word2vec

Google
Paris

Paris

Paragon Business Solutions

Categories

Embedding Models Supported

Categories

Integrations

No info available.

Integrations

No info available.
Claim LexVec and update features and information
Claim LexVec and update features and information
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