The use of sound symbolism in sentiment classification

Authors:
Takuma Igarashi;Ryohei Sasano;Hiroya Takamura;Manabu Okumura
Affiliations:
Tokyo Institute of Technology, Japan;Tokyo Institute of Technology, Japan;Tokyo Institute of Technology, Japan;Tokyo Institute of Technology, Japan
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

In this paper, we present a method for estimating the sentiment polarity of Japanese sentences including onomatopoeic words. Onomatopoeic words imitate the sounds they represent and can help us understand the sentiment of the sentence. Although there are many onomatopoeic words in Japanese, conventional sentiment classification methods have not taken them into consideration. The sentiment polarity of onomatopoeic words can be estimated using the sound symbolism derived from their vocal sounds. Our experimental results show that the proposed method with sound symbolism can significantly outperform the baseline method that is not with sound symbolism.