Emotion Estimation from Sentence Using Relation between Japanese Slangs and Emotion Expressions
Emotion Estimation from Sentence Using Relation between Japanese Slangs and Emotion Expressions
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发表时间：
2012-11
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通讯作者：
Kazuyuki Matsumoto;K. Kita;F. Ren
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作者：
Kazuyuki Matsumoto;K. Kita;F. Ren
日语俚语中的许多词，如若堂琴场等，在形态分析系统中被分析为“未登录词”或被错误切分。这些问题给文本情感分析带来了负面影响。这些词通常有许多不同的符号和变化，它们缺乏通用性。因此，其中许多词没有在词典中登记，使得词法分析更加困难。在本文中，我们的目的是减少这种负面影响的Wakamono Kotoba的准确性的情感估计从句子，并提出了一种方法来提高准确性，通过使用基于机器学习的分类方法。在该方法中，我们使用的情感表达，具有高度的相关性和若堂琴场作为特征。实验结果表明，该方法比仅使用词素Ngram作为特征的方法准确率提高了20%。情感语料库，日语俚语，词汇外
Most of Japanese slang words such as Wakamono Kotoba are analyzed as “unknown word” or segmented wrongly by the morphological analysis system. These problems are causing negative effect on sentiment analysis in text. These words generally have many varieties of notations and conjugations, and they lack versatility. As a result, many of them are not registered in the dictionaries, making morphological analysis more difficult. In this paper, we aimed to decrease such negative effects of Wakamono Kotoba for the accuracy of emotion estimation from sentence and proposed a method to increase the accuracy by using a classification method based on machine learning. In this method we used emotional expressions which had high relevance with Wakamono Kotoba as feature. As a result, the proposed method obtained 20% higher accuracy than the method only using morpheme Ngram as feature. Emotion Corpus, Japanese Slang, Out of Vocabulary