UMDuluth-CS8761-12: A Novel Machine Learning Approach for Aspect Based Sentiment Analysis

This paper provides a detailed description of the approach of our system for the Aspect-Based Sentiment Analysis task of SemEval-2015. The task is to identify the Aspect Cate-gory (Entity and Attribute pair), Opinion Tar-get and Sentiment of the reviews. For the In-domain subtask that is provided with the training data, the system is developed using a supervised technique Support Vector Machine and for the Out-of-domain subtask for which the training data is not provided, it is imple-mented based on the sentiment score of the vo-cabulary. For In-domain subtask, our system is developed specifically for restaurant data.