CIEA: A Corpus for Chinese Implicit Emotion Analysis

Abstract

The traditional cultural euphemism of the Han nationality has profound ideological roots. China has always advocated Confucianism, which has led to the implicit expression of Chinese people’s emotions. There are almost no obvious emotional words in spoken language, which poses a challenge to Chinese sentiment analysis. It is very interesting to exploit a corpus that does not contain emotional words, but instead uses detailed description in text to determine the category of the emotional expressed. In this study, we propose a corpus for Chinese implicit sentiment analysis. To do this, we have crawled millions of microblogs. After data cleaning and processing, we obtained the corpus. Based on this corpus, we introduced conventional models and neural networks for implicit sentiment analysis, and achieve promising results. A comparative experiment with a well-known corpus showed the importance of implicit emotions to emotional classification. This not only shows the usefulness of the proposed corpus for implicit sentiment analysis research, but also provides a baseline for further research on this topic.