TwitterHawk
TwitterHawk is an open-source natural language processing system for Twitter sentiment analysis. This system was developed for the SemEval-2015 Task 10: Sentiment Analysis in Twitter.
The system placed 1st in topic-based sentiment classification (Subtask C), and ranked 6th out of 40 in identifying the sentiment of sarcastic tweets (for Subtask B). The system also placed 5th/11 for Subtask A (sentiment of a tweet's sub-phrase), 10th/40 for Subtask B (sentiment of a full tweet), and 3rd/6 for Subtask D (summarization of Subtask C).
TwitterHawk implements two classifiers, one for message-level sentiment, and one of phrase-level sentiment detection.
- Free software: Apache v2.0 license