GloVe

GloVe

Stanford NLP
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About

GloVe (Global Vectors for Word Representation) is an unsupervised learning algorithm developed by the Stanford NLP Group to obtain vector representations for words. It constructs word embeddings by analyzing global word-word co-occurrence statistics from a given corpus, resulting in vector spaces where the geometric relationships reflect semantic similarities and differences among words. A notable feature of GloVe is its ability to capture linear substructures within the word vector space, enabling vector arithmetic to express relationships. The model is trained on the non-zero entries of a global word-word co-occurrence matrix, which records how frequently pairs of words appear together in a corpus. This approach efficiently leverages statistical information by focusing on significant co-occurrences, leading to meaningful word representations. Pre-trained word vectors are available for various corpora, including Wikipedia 2014.

About

Our industry-leading geometric deep learning technology bridges the gap between physical objects and digital code. We are changing the future of engineering, industrial design and procurement, and putting the power in the hands of innovators and creators, one 3D model at a time. Using proprietary algorithms and advanced geometric deep learning technology, Physna codifies 3D models into detailed data that is understandable by software applications. By enabling 3D models to be treated and analyzed like other code, Physna’s technology bridges the gap between the physical world and digital world of software. Physna analyzes CAD models and other 3D models and creates a codified representation of the model, or the “Physna DNA” of that model. This digitized model allows Physna to show the detailed differences and similarities between models, even incomplete models or models with different file formats. See all components in complex assemblies, even parts contained in other parts.

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

Data scientists in search of a solution to enhance their natural language processing models with word embeddings that capture global statistical information from large text corpora

Audience

Healthcare, defense, automotive, industrial machining, and more

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Stanford NLP
United States
nlp.stanford.edu/projects/glove/

Company Information

Physna
Founded: 2015
United States
physna.com

Alternatives

Alternatives

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DGArt

DGArt

nitrio
LexVec

LexVec

Alexandre Salle
ContextCapture

ContextCapture

Bentley Systems
word2vec

word2vec

Google
SysQue

SysQue

Trimble

Categories

Categories

Integrations

No info available.

Integrations

No info available.
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