Enhanced Twitter Sentiment Classification Using Contextual Information
Table 3: Classifier accuracy, sorted from worst to best.
['Model', 'Accuracy']
We used 5-fold cross validation to train and evaluate our baseline and contextual models, ensuring that the tweets in the training folds were not used in the calculation of any of the priors or in the training of the bigram models. The contextual model outperformed the baseline model using any of the contextual variables by themselves, with state being the best performing and day of week the worst. The model that utilized all the contextual variables saw a 10% relative and 8% absolute improvement over the baseline bigram model.