Citations 2
Human gene/protein synonym dictionary from WikiLinks
Wagholikar, Kavishwar B. , Torii, Manabu , Liu, Hongfang
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine | February 22, 2012 | Volume: No volume available | Issue: No issue available | Pages: 462-464
A Hybrid Approach to Sentiment Sentence Classification in Suicide Notes
Sohn, Sunghwan , Torii, Manabu , Li, Dingcheng , Wagholikar, Kavishwar B. , Wu, Stephen , Liu, Hongfang
Biomedical Informatics Insights | January 30, 2012 | Volume: 5s1 | Issue: No issue available | Pages: BII.S8961
This paper describes the sentiment classification system developed by the Mayo Clinic team for the 2011 I2B2/VA/Cincinnati Natural Language Processing (NLP) Challenge. The sentiment classification task is to assign any pertinent emotion to each sentence in suicide notes. We have implemented three systems that have been trained on suicide notes provided by the I2B2 challenge organizer–-a machine learning system, a rule-based system, and a system consisting of a combination of both. Our machine learning system was trained on re-annotated data in which apparently inconsistent emotion assignment was adjusted. Then, the machine learning methods by RIPPER and multinomial Naïve Bayes classifiers, manual pattern matching rules, and the combination of the two systems were tested to determine the emotions within sentences. The combination of the machine learning and rule-based system performed best and produced a micro-average F-score of 0.5640.