Update: 1, added the whole dataset; 2, added a merger to merge all cralwed data; 3, fixed a bug in feature_normalizer.py by resetting the dimension of returned matrix; 4, added code for LDA.
create 'idea.txt' to put ideas for our project.
divide timestamp into 6 separate feature columns
responding feature vector's dimension enlarged to 27.
dim=27 now
dim=27 now
Corrected content crawler.
Merged with jingxin.
Indentation.