Word2Vec is a popular algorithm based on: Efficient Estimation of Word Representations in Vector Space, Mikolov et. al (2013). Training on a single corpus the algorithm will generate one multidimensional vector for each word. These vectors are known to have symantic meanings. A commonly used distance measure is cosine similarity. This implementation is based on the word2vec port available at: https://github.com/allenai/Word2VecJava

Product Details

Version 1.0.0
File size 13 MB
Downloads 8472 (0 Today)8472 downloads
Vendor RapidMiner Labs
Category Machine Learning
Released 10/4/17
Last Update 10/4/17 3:47 PM
License AGPL
Product web site rapidminer.com
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