Validating an interlingual metanorm for emotional analysis of texts

authors

• Leveau Nicolas
• Jhean-Larose Sandra
• Denhière Guy
• Nguyen Ba-Linh

keywords

• Arousal
• Emotions
• Image Processing
• Computer-Assisted
• Internet
• Judgment
• Language

document type

abstract

In this article, we present a set of 12 norms that characterize emotional terms in French, English, German, Spanish, Italian, and Finnish. The high correlation between the norm values in the two emotional dimensions of valence and arousal suggests an interlingual homogeneity of emotional representations and allows a significant metanorm— EMONORM—to be established with 6,383 terms characterized in valence and 4,345 terms characterized in arousal. This metanorm is a resource for creating experimental materials in studies on language and emotions. Furthermore, we perform three tests using EMONORM, with the objectives of (1) identifying basic emotions from their valence and arousal values, (2) determining the orientation of texts referring to positive and negative emotions, and (3) evaluating the intensity of emotions expressed in texts. The results are highly similar to those for human judgments. Finally, we present EMOVAL/SEMOTEX, a Web application for static and dynamic valence and arousal emotional analysis of texts using EMONORM (http://www.semotex.fr).

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