A Method of Building Chinese Basic Semantic Lexicon Based on Word Similarity

Identification of sentiment orientation in Chinese words is essential for getting sentiment comprehension of Chinese text, and building a basic semantic lexicon with Chinese emotional words will provide a core subset for identifying emotional words in a special area. It can not only help to identify and enlarge semantic lexicon in corpus effectively but also improve classification efficiency. On the basis of the similarity of Chinese words, the paper has proposed a method of calculating sentiment weight of Chinese emotional words. In addition, a dictionary with basic Chinese emotional words has been constructed based on the HowNet semantic lexicon. By utilizing the dictionary together with TF-IDF, we have done experiments to identify sentiment orientation in Chinese text and have got satisfying classification result.