This paper proposes an automatic approach to build Chinese emotion lexicon based on WordNet-Affect which is a widely-used English emotion lexicon resource developed on WordNet. The approach consists of three steps, namely translation, filtering and extension. Initially, all English words in WordNet-Affect synsets are translated into Chinese words. Thereafter, with the help of Chinese synonyms dictionary (Tongyici Cilin), we build a bilingual undirected graph for each emotion category and propose a graph based algorithm to filter all non-emotion words introduced by translation procedure. Finally, the Chinese emotion lexicons are obtained by expanding their synonym words representing the similar emotion. The results show that the generated-lexicons is a reliable source for analyzing the emotions in Chinese text.
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013|
|Period||24/03/13 → 30/03/13|
- Emotion analysis
- Emotion lexicon development
- Theoretical Computer Science
- Computer Science(all)