mylog.txt

No need to collect data as useDataFile is set to true in twitter.cfg
we will use already generated data files - collect.py - mytweets.pkl and myusers.pkl
if you still want to run collect.py please set useDataFile to true in twitter.cfg
keyword data in tweets: cubs

as internalData is set to true we will read from my users file: myusers.pkl from data/mydownloadeddata
Removed 40 nodes from graph as they had less than 1 degree to reduce clutter in graph
Also edge weight threshold is set to 0.009 to reduce clutter in graph
Total communities to identify are: 10
Graph has 160 nodes and 2599 edges
Total edges removed by girvan_newman algo from graph are: 103
Average number of users per community :16.0

As internalData is set to True we will use tweets in file mytweets.pkl
getting unique tweets from pickle file
found 348 unique tweets from file
forming pos and neg word list from affin sentiment file
Total pos words are 878
Total neg words are 1598
Reading and fitting train data
Length of vocab is 20285
Number of pos and neg tweets: Counter({1: 277, 0: 71})