YahooNews Classification

##（1）利用python爬虫从日本雅虎网站获取新闻（政治，经济，体育等类别），使用Mecab做日文分词。

##（2）对分词结果用机器学习包sklearn（SVM等分类器），深度学习工具Keras(tensorflow)的CNN,训练分类模型。

##（3）使用自然语言处理工具Gensim，训练Word2Vec,实现新闻相似度计算和词汇相似度计算

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
conf		conf
fasttext		fasttext
01_crawler_yahoo_ALL.ipynb		01_crawler_yahoo_ALL.ipynb
02_csv2Json.ipynb		02_csv2Json.ipynb
03_mecab_forMR.ipynb		03_mecab_forMR.ipynb
03_mecab_makeCorp.ipynb		03_mecab_makeCorp.ipynb
04_test_TFIDF_LDA.ipynb		04_test_TFIDF_LDA.ipynb
04_train_TFIDF_LDA.ipynb		04_train_TFIDF_LDA.ipynb
05_01_classify_ML_processData.ipynb		05_01_classify_ML_processData.ipynb
05_02_classify_ML_train.ipynb		05_02_classify_ML_train.ipynb
06_01_gensimW2V.ipynb		06_01_gensimW2V.ipynb
06_02_MLP_TensorLayer.ipynb		06_02_MLP_TensorLayer.ipynb
06_02_MLP_tflearn.ipynb		06_02_MLP_tflearn.ipynb
06_02_w2vCNN.ipynb		06_02_w2vCNN.ipynb
README.md		README.md

Provide feedback