Document Type : Research Paper


Ferdowsi University of Mashhad, Iran


Technology plays a crucial role in fully understanding all aspects ‎of language and uncovering the hidden patterns, such as sense and emotion ‎density in texts. Yet, it seems that remarkable attention has not been paid to ‎the sensory and emotional loads of learning texts as the primary source of ‎learning. This study attempts to present an objective way of analyzing ‎English learning texts from both emotional and sensory perspectives to ‎provide material developers to measure the emotional and sensory loads of ‎the texts. For this purpose, a new kind of software was developed using ‎two datasets; Sensicon and EmoLex. Then as an example, an English ‎course book series, Interchange (5th ed.), was analyzed by this software to ‎determine any probable pattern(s) concerning sensory and emotional loads. ‎The results showed that the dominant sense in these books is hearing at all ‎levels of language proficiency. In the emotion analysis part, the eight basic ‎emotions were categorized as positive and negative emotions, and the ‎results showed a higher frequency of positive emotions. It was also found ‎that the frequency of negative emotions increases at higher levels, resulting ‎in more authenticity.‎