Package uk.ac.cam.juliet.twitter.analysis

Class Summary
BayesClassifier performs sentiment analysis on tweets using the naive Bayes algorithm

To use this class:
After you have trained the algorithm using the BayesLeaner, simply pass your tweet (Status object) to getSentimentScore(Status), and it will calculate and return sentiment score
BayesLearner This class is responsible for generating the hypothesis, that will be used by the BayesClassifier to classify tweets into positive or negative, in other words, this will be the part of the algorithm that learns from training data provided by users.
BayesUtil contains all the text processing functions that the BayesClassifier and the BayesLearner need.
FrequencyCounter  
ProfanityFilter This class helps filtering strings that contain offensive content
 

Enum Summary
Classification represents a positive or negative classification of a tweet, this enumeration is self explanitory