“…In particular, emotional expressions (e.g., speech and text) could be recognized as affective dimensions, which are modeled by the hourglass of emotions (Cambria, Livingstone, & Hussain, 2012). In addition novel techniques, involved fuzzy linguistic modeling, aspect‐based extraction, flow of emotions modeling and others, have proposed to identify an affective state (i.e., emotions) based on the rich text of social media (Brenga, Celotto, Loia, & Senatore, 2015a; Maharjan, Kar, Montes, González, & Solorio, 2018; Weichselbraun, Gindl, Fischer, Vakulenko, & Scharl, 2017). In this regard, social media data have boosted the utilization of emotional texts to understand human behaviors, observations, opinions, and so on.…”