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Word2Vec
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 | 9360 (3 Today) |
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 |
Rating | (0)
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