golang implement of Tomas Mikolov's word/document embedding. You may want to feel the basic idea from Mikolov's two orignal papers, word2vec and doc2vec. More recently, Andrew M. Dai etc from Google reported its power in more detail
- doc2vec支持CBOW和Skip-Gram两种模型，Negative Sampling和Hierarchical Softmax优化均已实现
- online infer document
- likelihood of document
- doc2words
- doc2docs
- word2words
- word2docs
- wmd
- doc2vec添加同义词语义约束
- 句子提取核心词
- google word2vec 实现
- hiyijian/doc2vec
- word2vec语义约束
- doc2vec添加同义词语义约束