Emotion recognition based on negative words and pattern matching for Chinese negative sentences

Recently, emotion recognition with computer has attracted a great deal of attention to researchers for its broad applications. Emotion estimation from textual input has also become active as natural language processing (NLP) technology develops. However, when it comes to negative sentences in Chinese, the original emotion estimation may be reversed which makes obtaining correct recognition results difficult if we do not consider the effect of negative words. The purpose of this study is to use a pattern matching method to find out the negative implications for emotion recognition in Chinese sentences. The experiments were carried out with the corpus we randomly selected from the web, and our results demonstrate that the proposed method for emotion recognition in negative sentences is effective.