* Equal contribution Traditional machine learning algorithms such as K-Nearest Neighbor, Support Vector Machines (SVM), and Naive Bayes have been widely used for text classification tasks and accuracy levels of over 80% have been reported in the literature for various data sets (Kadhim, 2019).
obtaining a similar level of success for short-text classification is difficult, since short-texts contain smaller number of words compared to lengthy texts, which makes classifying them effectively a challenging task (Taksa et al., 2007).