Semantic Orientation Computing Based on HowNet

A simple HowNet-based method for semantic orientation computation of Chinese words is introduced, which requires only a few seed words and results can still be obtained with a frequency-weighted accuracy above 80%.

Abstract

Nowadays,with the development of Internet and information explosion,automated techniques for analyzing author's attitudes towards specific events will make great effort to business intelligence and public opinion survey.Semantic orientation inference has become a meaningful tool,which could provide useful information for text classification,summarization,filtering etc.Measuring the semantic orientation of words would greatly contribute to predicting the author's attitude in a passage.In this paper,a simple HowNet-based method for semantic orientation computation of Chinese words is introduced.Although this method requires only a few seed words,satisfactory results can still be obtained.And the performance is even better for frequently used words,with the frequency-weighted accuracy of above 80%.