An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract)
Table 1: Performance of various linguistic, sentiment and information specific features on our dataset. Classifier utilized Logistic Regression (Elastic Net regularization), as it gave the best performance as compared to its counterparts.
['[BOLD] Model', '[BOLD] Accuracy(%)', '[BOLD] F1-score']
The best result achieved by a sentiment model was the Stanford Sentiment (0.63 F1-score), with others within the same range and linguistic-based features collectively giving the best performance.