Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the Tetsted system implemented for the SemEval 2013 task on Sentiment Analysis in Twitter. In particular,  participated in Task B on Message Polarity Classification in the Constrained setting. The approach is based on the exploitation of various resources such as SentiWordNet and LIWC. Official results show that our approach yields a F-score of 0.5976 for Twitter messages (11th out of 35) and a F-score of 0.5487 for SMS messages (8th out of 28 participants).
['Md. Faisal Mahbub Chowdhury', 'Marco Guerini', 'Sara Tonelli', 'Alberto Lavelli']
I am writing a research paper on a idea FBK: Sentiment Analysis in Twitter with Tweetsted
[{"from": "human", "value": "I am writing a research paper on a idea FBK: Sentiment Analysis in Twitter with Tweetsted"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents the Tetsted system implemented for the SemEval 2013 task on Sentiment Analysis in Twitter. In particular,  participated in Task B on Message Polarity Classification in the Constrained setting. The approach is based on the exploitation of various resources such as SentiWordNet and LIWC. Official results show that our approach yields a F-score of 0.5976 for Twitter messages (11th out of 35) and a F-score of 0.5487 for SMS messages (8th out of 28 participants)."}]