Self complemented word embedding methods using CBOW amd Skip-Gram model
1、训练语料放在data目录下，其中是个text8解压文件，可使用unzip命令进行解压
2、执行cbow.py 完成cbow模型的训练，词向量保存在model文件夹下，对应的词聚类效果保存在img文件下
2、执行skipgram.py 完成skipgram模型的训练，词向量保存在model文件夹下，对应的词聚类效果保存在img文件下
forked from liuhuanyong/Word2Vector
-
Notifications
You must be signed in to change notification settings - Fork 0
Ada520/Word2VectorComplement
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Self complemented word embedding methods using CBOW and Skip-Gram model
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 100.0%