- win 10
- anaconda 4.3.1
- python 3
- jieba 0.39
- gensim 3.4.0
- calculate the sentence-meaning vector for each news to cut down the calculated quantity.
- cluster the news to implement TFIDF on each news to find out the key words.
- cmd python get_top20.py
forked from submarinecantfly/news_w2v
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Get 50 news from test data,find each of them the most similar 50 news in train data.
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