Update README.txt
Just initial code. Only gets friends tweets for now. You'll need all the python-twitter downloads to run it
remove keys
Merge pull request #2 from AaronTR/python-twitter

Initial Tweet Grabber
Added basic database and basic python-database routine.
A simple program to process tweets.

A small program that will make labeling individual tweets significantly easier. Will generate 4 text files:
 1) positive tweets
 2) negative tweets
 3) trash tweets (completely useless information)
 4) useful trash tweets (tweets that are neither positive or negative but still useful)
    -Will be used in the "useful tweet" classifier.




The program will output the number of tweets read and the number of tweets left to process.
It will automatically delete processed tweets from the specified file.
A baby version of the sentiment analyzer.

In the current state, this program will train on the movie_review corpus
provided by NLTK which is exactly 2000 files, 1000 positive and 1000 negative.

With the specified path, it will go through each file in the directory and
classify them, outputting the filename and its sentiment rating.

Line 10 and 11 is the foundation we need to implement our own corpora later
down the line when we have tweet data.
Our Product BackLog

Just an idea of how our product backlog will look like. It currently only has three categories so please feel free to add more to it if you feel it's necessary.
Merge pull request #3 from lostorbit/master

YQL, sqlite3
Merge pull request #4 from djiang3/TwitterFilter

A simple program to process tweets.
Merge pull request #5 from djiang3/SentimentAnalyzer

A baby version of the sentiment analyzer.
Merge pull request #6 from djiang3/ProductBackLog

Our Product BackLog
updated getyql class