Irony/Sarcasm Detection
This is an irony/sarcasm detection project working with the tweets I collected earlier this year.
This will be my second qualifying exam submission.
Methods for building twitter-specific sentiment lexicon
Using mutual information This page has quite a bit of information regarding how the mutual infor...
Comparison of two-side MI
As mentioned in Methods for building twitter-specific sentiment lexicon there are two general way...
Results dump
Cross validation character n-grams tfidf F1-score Task A 0.6440953412784399 preci...
Todo: Coding
Implement sentiment value creator with fit() and transform(). Integrate corenlpSentimentAnalyze...
Log
Fixed issue where the server would not work with the sentiment analysis annotator enabled by upgr...
F-score for positive class analysis
Bag of Words alone Feature Count Mutual Information Chi-squared 100 0.61468 0.61682 ...
Macro f-score analysis
General sentiment features (MPQA) Feature Count Mutual Information Chi-squared 100 0.59...
Precision and Recall for top performers (macro f-score)
MI features Data Source N-features Negative Precision Negative Recall Positive Precision ...