word2vec

word2vec

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About

GenText is an AI-powered Microsoft Word add-in built for students, academics, and researchers that helps produce accurate, professional reports in far less time. It seamlessly integrates into Word and utilizes a database of over 200 million peer-reviewed research papers to support users with functions like drafting text from a heading, summarizing paragraphs, rephrasing selected text, and citing related research. With drag-in installation via Microsoft AppSource, users can invoke GenText from the Home tab of Word, select a title or heading, and generate a draft, or highlight text to summarize or rephrase it instinctively. It also features a research-based response mode that scans the huge library of academic articles and surfaces citations and related papers when you ask a question. The add-in stores your drafts directly in Word so you retain full document control and formatting.

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

Students, academic researchers and educators looking for a solution to generate, summarize, re-phrase and cite research-driven reports efficiently

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

$19 per month
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
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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

GenText
United States
gentext.ai/

Company Information

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

Alternatives

Doco

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Alternatives

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Categories

Categories

Integrations

Gensim
Microsoft Word

Integrations

Gensim
Microsoft Word
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