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Description
Datos is a worldwide provider of clickstream data that specializes in licensing anonymized and privacy-compliant datasets, ensuring safety for its clients and partners in a challenging marketplace. With access to both desktop and mobile browsing clickstreams from millions of users globally, Datos delivers this information in user-friendly data feeds. The company's mission revolves around generating clickstream data founded on trust and aimed at achieving concrete outcomes. Esteemed organizations worldwide rely on Datos to furnish the insights necessary to navigate the complexities of the digital landscape with clarity. Among its offerings is the Datos Activity Feed, which grants a comprehensive view of the entire conversion funnel by monitoring every page visit and analyzing varied user behaviors. Additionally, the Datos Behavior Feed provides in-depth data regarding user trends, enhancing businesses' understanding of their audience. By continually evolving its products, Datos ensures that its clients remain equipped to adapt to the fast-paced changes in the digital realm.
Description
Word2Vec is a technique developed by Google researchers that employs a neural network to create word embeddings. This method converts words into continuous vector forms within a multi-dimensional space, effectively capturing semantic relationships derived from context. It primarily operates through two architectures: Skip-gram, which forecasts surrounding words based on a given target word, and Continuous Bag-of-Words (CBOW), which predicts a target word from its context. By utilizing extensive text corpora for training, Word2Vec produces embeddings that position similar words in proximity, facilitating various tasks such as determining semantic similarity, solving analogies, and clustering text. This model significantly contributed to the field of natural language processing by introducing innovative training strategies like hierarchical softmax and negative sampling. Although more advanced embedding models, including BERT and Transformer-based approaches, have since outperformed Word2Vec in terms of complexity and efficacy, it continues to serve as a crucial foundational technique in natural language processing and machine learning research. Its influence on the development of subsequent models cannot be overstated, as it laid the groundwork for understanding word relationships in deeper ways.
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Has API
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Gensim
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Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Datos
Founded
2019
Country
United States
Website
datos.live/
Vendor Details
Company Name
Founded
1998
Country
United States
Website
code.google.com/archive/p/word2vec/
Product Features
Competitive Intelligence
Alerts/Notifications
Benchmarking
Competing Product Analysis
Keyword Tracking
Social Media Monitoring
Trend Analysis
Website Monitoring
Market Research
Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management