Since sentiment lexicons helped in improving the accuracy of sentiment classification models (Liu and Zhang, 2012; Al-Sallab et al., 2017; Badaro et al., 2014a Badaro et al., ,b, 2015 , several researchers are working on developing emotion lexicons for different languages such as English, French, Polish and Chinese (Mohammad, 2017; Bandhakavi et al., 2017; Yang et al., 2007; Mohammad and Turney, 2013; Abdaoui et al., 2017;<cite> Staiano and Guerini, 2014</cite>; Maziarz et al., 2016; Janz et al., 2017) .