Emotion Work in Tabligh Jama’at Texts

نویسندگان

چکیده

This study examines the emotional dynamics of written and oral texts Tabligh Jama’at—respectively, Faza’il-e-A’maal (Virtues Good Deeds) bayan (religious sermon). In them, identifies emotion work—the attempt to generate certain emotions. The discusses how texts’ work relates Tablighi discursive ideology (framing) also posits several emotions that might generate. From these findings, offers idea contributes transforming Muslims’ sphere by attaching them emotionally ultimate religious concerns. By enchanting Muslims Islamic social actors, values, practices, revivalist goals, transformation individuals society.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Emotion Distribution Learning from Texts

The advent of social media and its prosperity enable users to share their opinions and views. Understanding users’ emotional states might provide the potential to create new business opportunities. Automatically identifying users’ emotional states from their texts and classifying emotions into finite categories such as joy, anger, disgust, etc., can be considered as a text classification proble...

متن کامل

Analysis and Generation of Emotion in Texts

This paper explores the task of automatic emotion analysis and generation in texts. We present preliminary results for the task of classifying texts by classes of emotions. Then, we present detailed experiments in classifying texts by classes of mood. We propose a novel approach that uses the hierarchy of possible moods in order to achieve better results than a standard flat classification. We ...

متن کامل

Predicting Emotion Labels for Chinese Microblog Texts

We describe an experiment into detecting emotions in texts on the Chinese microblog service Sina Weibo (www.weibo.com) using distant supervision via various author-supplied emotion labels (emoticons and smilies). Existing word segmentation tools proved unreliable; better accuracy was achieved using characterbased features. Higher-order n-grams proved to be useful features. Accuracy varied accor...

متن کامل

Emotion Classification in Microblog Texts Using Class Sequential Rules

This paper studies the problem of emotion classification in microblog texts. Given a microblog text which consists of several sentences, we classify its emotion as anger, disgust, fear, happiness, like, sadness or surprise if available. Existing methods can be categorized as lexicon based methods or machine learning based methods. However, due to some intrinsic characteristics of the microblog ...

متن کامل

Hierarchical Approach to Emotion Recognition and Classification in Texts

We explore the task of automatic classification of texts by the emotions expressed. We consider how the presence of neutral instances affects the performance of distinguishing between emotions. Another facet of the evaluation concerns the relation between polarity and emotions. We apply a novel approach which arranges neutrality, polarity and emotions hierarchically. This method significantly o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Religions

سال: 2022

ISSN: ['2077-1444']

DOI: https://doi.org/10.3390/rel13070632