GitHub - bigmianhua/Twitter-clustering: In this project, we collect the tweets from twitter API, using sentiment algorithm to divide users into two groups-positive and negative. Then using Spark to do k-means clustering in these two groups based on the followings of users. In the end, calculating the TF-IDF of tweets of different users, then do k-means clustering based on TF-IDF.

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In this project, we collect the tweets from twitter API, using sentiment algorithm to divide users into two groups-positive and negative. Then using Spark to do k-means clustering in these two groups based on the followings of users. In the end, calculating the TF-IDF of tweets of different users, then do k-means clustering based on TF-IDF.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
0.8_0.9		0.8_0.9
0.9		0.9
0_0.8		0_0.8
file		file
distribute.py		distribute.py
group_mutal_friend_score.py		group_mutal_friend_score.py
parsing.py		parsing.py
preprocessing2.py		preprocessing2.py
sentiment.py		sentiment.py
twitter_sentiment_list.csv		twitter_sentiment_list.csv