该研究构建了包含1653个词汇的中文情感词典CVAW和2009条句子的CVAT语料库，用于情感分析。采用连续数值的Valence-Arousal维度对文本进行细粒度处理。现有资源如SentiWordNet、LIWC和ANEW等被引用。通过自我评估模型，5位注释者对词汇进行评分，结果显示arousal维度的预测难度大于valence。
Building Chinese Affective Resources in Valence-Arousal Dimensions （ Chinese valence-arousal words (CVAW)）
this study builds:
- an affactive lexicon called Chinese valence-arousal words(CVAW) containing 1653 words
- an affective corpus called chinese valence-arousal text (CVAT) containing 2009 sentences extracted from web texts
introduction
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sentiment analysis : automatically identify affective information from texts,affective states 情感状态 represented using either categorical or dimensional approaches
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categorical approach:discrete classes such as positive\neutral\negative Ekman’s six basic emotions(Ekman,1992)
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dimensional approach:continuous numerical values in mu
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