ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Guessing parts-of-speech of unknown words using global information
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Japanese unknown word identification by character-based chunking
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Estimation of word emotions based on part of speech and positional information
Computers in Human Behavior
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Currently, we can find a lot of weblogs written by young people. In the weblogs, they tend to describe their undiluted emotions or opinions. To analyze the emotions of young people and what causes those emotions, our study focuses on the specific Japanese language used among young people, which is called Wakamono Kotoba. The proposed method classifies Wakamono Kotoba into emotion categories based on superficial information and the descriptive texts of the words. Specifically, the method uses literal information used for Wakamono Kotoba, such as Katakana, Hiragana, and Kanji, etc., stroke count, and the difficulty level of the Kanji as features. Then we classified Wakamono Kotoba into emotion categories according to the superficial similarity between the word and the Wakamono Kotoba registered in the dictionary with an annotation of its emotional strength level. We also proposed another method to classify Wakamono Kotoba into emotion categories by using the cooccurrence relation between the words included in the descriptive text of the Wakamono Kotoba and the emotion words included in the existing emotion word dictionary. We constructed the Wakamono Kotoba emotion dictionary based on these two methods. Finally, the applications of the Wakamono Kotoba emotion dictionary are discussed.