Affiliations: [a] Faculty of Engineering, Tokushima University, Minamijyousanjima-cho, Tokushima, Japan
| [b] College of Science and Technology, Shanghai Open University, GuoShun, Shanghai, China
Abstract: In recent years, affective computing has received much attention in the area of natural language processing and artificial intelligence. Sentiment orientation recognition of text is one of important parts in affective computing. A method is proposed to recognize the multi-label sentiment orientations of Chinese text based on three-way decisions. Firstly, sentiment orientation and intensity of sentiment words from texts are identified by sentiment lexicons, Tongyi Cilin and HowNet. Subsequently, sentiment orientation of text are divided into three domains, including positive, negative and boundary domain, according to their sentiment intensity and the appropriate decision-making thresholds. Lastly, sentiment orientations of texts in the boundary domain are distinguished pursuant to sentimental characteristics of sentences in texts. The results of experiments show that the method of multi-label sentiment analysis of Chinese text, based on three-way decisions, is effective for identifying sentiment orientations of texts.
