Emotion Detection from the Text of the Qur’an Using Advanced Roberta Deep Learning Net
Mostafa Karami, Alireza Talebpour, Farzaneh Tajabadi, Zeinab Hajimohammadi · Journal of Interdisciplinary Qur’anic Studies · 2023
as data and context continue to expand, a vast amount of textual content, including books, blogs, and papers, is produced and distributed electronically.analyzing such large amounts of content manually is a time -consuming task.automatic detection of feelings and emotions in these texts is crucial, as it helps to identify the emotions conveyed by the author, understand the author's writing style, and determine the target audience for these texts.The Qur'an, regarded as the word of God and a divine miracle, serves as a comprehensive guide and a reflection of human life.detecting emotions and feelings within the content of the Qur'an contributes to a deeper understanding of God's commandments.