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Dataset evaluation with 0.969 Cohen's κ score indicates the close agreement between the corpus annotators and the expert. The analysis of evaluation also represents that the distribution of emotion words obeys Zipf's law. Moreover, the results of BEmoC analysis shown in terms of coding reliability, emotion density, and most frequent emotion words, respectively.Under uncertainty, there is considerable heterogeneity in expectations of results, and the outcome of each choice is a reflection of those expectations. This study aims to underst
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