6. Erratic Emotions . Mining the Underground in the Dutch Parliament Article Swipe
Erratic Emotions | Mining the Underground in the Dutch ParliamentMost debates in the 'extraordinary government employees' subset deal with the establishment, modification, or discussion of WBP or WBPZ legislative schemes (see also Chapter 7).Some debates deal with both schemes at once.Words associated with the six emotion categories from the NRC EmoLex are identified, weighted, and thus 'scored' in all 250-word text chunks of the documents within this subset.Chapter 4 gives a more detailed description of this procedure.The complete overview of the results of computational analysis of emotional word use in the debates on the 'extraordinary government employees' (the beneficiaries of WBP and WBPZ) can be found in Supplement 3.1. 1 Emotion-mining Results and the Resistance Variation between EmotionsSummary statistics are calculated for the scores of all 'extraordinary government employees' debates on each basic emotion category from the NRC EmoLex.All individual documents within this particular subset of parliamentary debates are taken into account.As the output in Table 14 shows, mean and median score for the emotion of trust is much higher than all other emotion scores.There are no zero scores for trust.This means language use associated with trust is not only prominent, but 1 Just as in the previous chapter, when I mention the 'score' of a specific parliamentary debate on a certain emotion here, this score consists of the mean of all TF-IDF weights for all of the 250-word chunks of which that debate consists.Theoretically this does, however, not have to mean that there is (only) a higher frequency of emotion words in these debates per se.Higher TF-IDF scores are also caused by the (relative) frequent use of (relative) rare, uncommon occurring anger words.Because of the TF-IDF weighting that is applied to the scores, the (single) occurrence of relatively rare words weighs heavier than the individual occurrence of a very common anger word.For a detailed description of the weighing measure, see also Chapter 4.
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