[
    {
        "id": "osp-14316",
        "type": "article-journal",
        "title": "Developing New Software to Analyze the Emo-Sensory Load of Language",
        "author": [
            {
                "family": "Akbari",
                "given": "Mohammad Hossein"
            },
            {
                "family": "Pishghadam",
                "given": "Reza"
            }
        ],
        "URL": "https://omanscience.com/en/articles/developing-new-software-to-analyze-the-emo-sensory-load-of-language",
        "language": "en",
        "issued": {
            "date-parts": [
                [
                    2022
                ]
            ]
        },
        "container-title": "Journal of Business, Communication and Technology",
        "volume": "1",
        "issue": "1",
        "page": "1-13",
        "DOI": "10.56632/bct.2022.1101",
        "publisher": "Gulf College",
        "abstract": "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.‎"
    }
]