SA-UZH: Verb-based Sentiment Analysis
Nora Hollenstein, Michael Amsler, Martina Bachmann, Manfred Klenner · 2014
This paper describes the details of our system submitted to the SemEval-2014 shared task about aspect-based sentiment analysis on review texts.We participated in subtask 2 (prediction of the polarity of aspect terms) and 4 (prediction of the polarity of aspect categories).Our approach to determine the sentiment of aspect terms and categories is based on linguistic preprocessing, including a compositional analysis and a verb resource, task-specific feature engineering and supervised machine learning techniques.We used a Logistic Regression classifier to make predictions, which were ranked above-average in the shared task.