درخت حوزه‌های تخصصی

The volume of digital text data is continuously increasing both online and offline storage, which makes it difficult to read across documents on a particular topic and find the desired information within a possible available time. This necessitates the use of technique such as automatic text summarization. Many approaches and algorithms have been proposed for automatic text summarization including; supervised machine learning, clustering, graph-based and lexical chain, among others. This paper presents a novel systematic review of various graph-based automatic text summarization models.

While the bulk of literature repletes with studies on emotional intelligence and its effect on teachers' performance and students' academic achievement, few have been released as to the potency of the factors that can foster emotional intelligence inside classrooms. Accordingly, the present study aimed to investigate the extent to which spiritual intelligence could be a predictor of emotional intelligence. The data were collected through a merger of the Brief Emotional Intelligence Scale (BEIS-10) and Spiritual Intelligence Self-Report Inventory (SISRI).  The evolved 34-item questionnaire was translated into Persian to ensure maximum comprehension of participants. The sample of this study consisted of 847 undergraduate Iranian EFL learners from two provinces in Iran. Three phases were in this study. First, an exploratory factor analysis of SISRI-24 was performed. Second, confirmatory factor analysis of both inventories, individually, was done by IBM SPSS AMOS. This was followed by CFA of the 34-item questionnaire. Last, multiple regression analysis was modeled to find the predictive relationships. The results of PCA revealed a three-factor model of SISRI (18 statements). CFA also verified both inventories under investigation. The model fit estimated of the 34-item questionnaire was sufficiently adequate to approve the model. Multiple regression analysis also indicated that critical existential thinking could predict both appraisal and regulation of own emotions as well as utilization of emotions. Likewise, conscious state expansion could predict the utilization of emotions. It was also found that personal meaning production could predict the appraisal of other emotions.