Files pertaining to our NLP Final Project: Semantic Analysis in Twitter Our project was to design and test systems which given a tweet and a topic could extract the sentiment of the tweet about the topic.

multipleTaggey.py: Contains the sentiment lexicon tagger and the mfs tagger. Change globals in dataParse.py in order to change the test data for each.

sentimentTagger.py: Contains the naive bayes classifier

decisionList.py: Contains the decision list classifier. Change globals in dataParse.py in order to change the size of the test and training data.

checkTags.py: Contains functions used to check the tags of a classifier with the correct tags.

dataParse.py: Parsing mechanism used to place data into dictionaries. Used in the deicion list and multipleTagger.py.

sentimentLexicon.txt: The text file containing the sentiment lexicon data.

trainA.txt: The training\test data for task A

trainB.txt: The training\test data for task B

results.txt: Results for each classifier

oldFiles: Old files not being used in the classifiers

texFiles: Our paper and the LaTex code that it was compiled from.