./textproc/word2vec, Tools for computing distributed representation of words

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Branch: CURRENT, Version: 0.1c, Package name: word2vec-0.1c, Maintainer: minskim

word2vec is an implementation of the Continuous Bag-of-Words (CBOW)
and the Skip-gram model (SG), as well as several demo scripts. Given
a text corpus, the word2vec tool learns a vector for every word in the
vocabulary using the Continuous Bag-of-Words or the Skip-Gram neural
network architectures.


Required to build:
[pkgtools/cwrappers]

Master sites:

Version history: (Expand)

CVS history: (Expand)


   2021-10-26 13:23:42 by Nia Alarie | Files touched by this commit (1161) 
Log message:
textproc: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Unfetchable distfiles (fetched conditionally?):
./textproc/convertlit/distinfo clit18src.zip
   2021-10-07 17:02:49 by Nia Alarie | Files touched by this commit (1162) 
Log message:
textproc: Remove SHA1 hashes for distfiles
   2019-12-19 23:24:19 by Joerg Sonnenberger | Files touched by this commit (1) 
Log message:
Package makefile is spelled with lower case m.
   2019-12-18 01:47:22 by Min Sik Kim | Files touched by this commit (1) 
Log message:
textproc/word2vec: Fix a typo in COMMENT
   2019-12-02 03:00:42 by Min Sik Kim | Files touched by this commit (7) 
Log message:
textproc/word2vec: Import version 0.1c

word2vec is an implementation of the Continuous Bag-of-Words (CBOW)
and the Skip-gram model (SG), as well as several demo scripts.  Given
a text corpus, the word2vec tool learns a vector for every word in the
vocabulary using the Continuous Bag-of-Words or the Skip-Gram neural
network architectures.