Get 50 chinese news from test data,find each of them the most similar 50 news in train data.

enviroment

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.

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
data		data
lib		lib
logs		logs
model		model
output		output
utils		utils
README.md		README.md
drafr1.ipynb		drafr1.ipynb
draft2.ipynb		draft2.ipynb
get_top20.py		get_top20.py