According to the Socionomics Theory "Social Mood" is a driver of political, economic and social events. So far Socionomics tried to assess social mood of people through different indicators (e.g. stock market prices, popular Disney genres, skirt length, etc.), which all measure mood indirectly. My idea would be to analyze large corpora of text material (e.g. twitter, social media messages, newspapers, etc.) using different techniques to measure mood more directly.

One approach is to perform sentiment analysis using "emotion dictionaries" (e.g. affective norms for english words [ANEW]), which I understand as a form of quantitative content analysis on sentence/phrase-level (using n-grams). These dictionaries are based on the (average) evaluations of the emotional content of individual words by humans using the semantic differential (rating of words on three major dimensions: valence, arousal, dominance).

Now my question would be whether there are any other approaches to assess sentiment and/or emotions from text material? What theories do exist on the representation of mood/sentiment/emotions in language (my personal interest would be on Englisch and German in particular)?

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