关键词: 新词, 情感极性, 标签传播, 知网, 图模型

Abstract: Emotional polarity identification of new words is very difficult because of the lack of priori knowledge in part of speech and semantic. This paper thinks of the polarity identification as calculating polar distribution of new words, and proposes an emotional polarity recognition method of new words based on label propagation algorithm (LPA). Firstly, Hownet is used to calculate the polar distribution of words that appear together with new words and select the words with a strong emotional tendency. Then, label propagation algorithm is used to estimate the polar distribution of new words based on the correlations of new word and other new words and the selected words. Finally, the emotional polarity of new word is identified by constructing linear classifier based on the polar distribution of  new word. In the evaluation task of COAE2014, this method achieves a better effect, and the precise rate and recall rate respectively are 16.167% and 13.775%.

Key words: new word, emotional polarity, label propagation, Hownet, graph model