word2vec

word2vec

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About

Patentfield is a patent search and analysis platform that combines advanced search, data visualization, AI functions, etc. It's not only for searching, it also has AI semantic search and AI classifications for screening patents faster. AI has been learning word meanings from over 10 million data patents in order to find similar patents. By scoring in descending order of similarity from any natural documents or specific documents you want to find, you can investigate immediately from the patent literature that is close to the technology you are looking for without preparing teacher data, etc. Similar image search allows you to input image data and search for patents and design publications that have similar images, targeting the drawings disclosed in them. The system also supports the input of multiple drawings, enabling similar image searches based on a set of six views for designs, or a combination of exterior and internal structure images for patents.

About

Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. The model was influential in advancing NLP by introducing efficient training techniques such as hierarchical softmax and negative sampling. Though newer embedding models like BERT and Transformer-based methods have surpassed it in complexity and performance, Word2Vec remains a foundational method in natural language processing and machine learning research.

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

Individuals and companies seeking an AI tool to search for patents

Audience

Researchers, data scientists, and developers working in natural language processing (NLP) and machine learning who need efficient word embeddings for text analysis and semantic understanding

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

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

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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

Patentfield
United States
en.patentfield.com

Company Information

Google
Founded: 1998
United States
code.google.com/archive/p/word2vec/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
GloVe

GloVe

Stanford NLP

Categories

Categories

Integrations

Gensim
Microsoft Excel

Integrations

Gensim
Microsoft Excel
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