Vector Space Modeling (20%)

handle large text collections, using data streaming and efficient incremental algorithms, which differentiates it from most other scientific software packages that only target batch and in-memory proc

Gensim

REF：

以 gensim 訓練中文詞向量雷德麥的藏書閣

基于 Gensim 的 Word2Vec 实践SegmentFault 思否

以 jieba 與 gensim 探索文本主題：五月天人生無限公司歌詞分析 ( II)Medium

以 jieba 與 gensim 探索文本主題：五月天人生無限公司歌詞分析 ( I )Medium

Logdown - Site Maintenancecpmarkchang.logdown.com

Logdown - Site Maintenancecpmarkchang.logdown.com

sklearn features extract

http://sklearn.lzjqsdd.com/modules/feature_extraction.htmlsklearn.lzjqsdd.com

REF

Gensim Fasttext pre-trained model get vectors for out-of-vocabulary words

out-of-vocab words are represented as the sum of character ngram vectors. While the intent is to handle out-of-vocab words (unks) like "blargfizzle", it also handles phrases like your input.

https://stackoverflow.com/questions/50828314/how-does-the-gensim-fasttext-pre-trained-model-get-vectors-for-out-of-vocabulary

BERT

GitHub - google-research/bert: TensorFlow code and pre-trained models for BERTGitHub

BERT相关论文、文章和代码资源汇总我爱自然语言处理

https://www.jianshu.com/p/aa2eff7ec5c1www.jianshu.com

https://juejin.im/post/5c093c04f265da611d667584?utm_source=gold_browser_extensionjuejin.im

文本相似度

BERT中文实战（文本相似度）_bert中文模型实现近似词-CSDN博客blog.csdn.net

Getting started with Word2Vec

Getting started with Word2Vec | TextProcessing | A Text Processing Portal for Humanstextprocessing.org

Word2vec Made Easy

https://towardsdatascience.com/word2vec-made-easy-139a31a4b8aetowardsdatascience.com

全面擁抱Transformer：NLP三大特徵抽取器（CNN/RNN/TF）比較

https://blog.csdn.net/dQCFKyQDXYm3F8rB0/article/details/86446077

five most popular Similarity Measures in Python

机器学习各种相似性度量及Python实现_商品相似度 算法-CSDN博客blog.csdn.net

http://bigdata-madesimple.com/implementing-the-five-most-popular-similarity-measures-in-python/bigdata-madesimple.com