# 10 Text Mining

## Text Mining - TF-IDF Intro

* TF-IDF Concept
  * [文字探勘之前處理與TF-IDF介紹](http://www.cc.ntu.edu.tw/chinese/epaper/0031/20141220_3103.html)
* TF-IDF in Python
  * [scikit-learn](http://scikit-learn.org/stable/modules/feature_extraction.html)
  * [TF-IDF计算100份文档关键词权](https://www.cnblogs.com/chenbjin/p/3851165.html)
* TF-IDF 實際應用案例
  * [分析約泡信，找到適合的"對手"](https://www.ptt.cc/bbs/sex/M.1467099969.A.1D1.html)
  * [Machine Learning with Python: Meeting TF-IDF for Text Mining](http://aimotion.blogspot.tw/2011/12/machine-learning-with-python-meeting-tf.html)

## Text Mining - word2vec Intro(Extended)

* Word2vec Concept
  * [wevi: word embedding visual inspector](https://ronxin.github.io/wevi/)
  * [科技大擂台-詞向量介紹](https://fgc.stpi.narl.org.tw/activity/videoDetail/4b1141305ddf5522015de5479f4701b1)
  * [白話Word2Vec](https://www.jianshu.com/p/f58c08ae44a6)
* Word2vec in Python
  * [Gensim](https://radimrehurek.com/gensim/models/word2vec.html)
  * [以 gensim 訓練中文詞向量](http://zake7749.github.io/2016/08/28/word2vec-with-gensim/)
* Word2vec 實際應用案例
  * [餐廳推薦系統 (by 食記)](https://github.com/paristsai/word2vec)

## Strongly Recommended!!

* if you are interested in NLP, please learn with [Stanford CS224n: Natural Language Processing with Deep Learning](http://web.stanford.edu/class/cs224n/)
* [Natural Language Processing with Python\[ A book about NLP with nltk package\]](http://www.nltk.org/book/)