An open-source dataset for arabic fine-grained emotion recognition of online content amid COVID-19 pandemic.

ABSTRACT: Emotion recognition is a crucial task in Natural Language Processing (NLP) that enables machines to comprehend the feelings conveyed in the text. The task involves detecting and recognizing various human emotions like anger, fear, joy, and sadness. The applications of emotion recognition are diverse, including mental health diagnosis, student support, and the detection of online suspicious behavior. Despite the substantial amount of literature available on emotion recognition in various languages, Arabic emotion recognition has received relatively little attention, leading to a scarcity of emotion-annotated corpora. This article presents the ArPanEmo dataset, a novel dataset for fine-grained emotion recognition of online posts in Arabic. The dataset comprises 11,128 online posts manually l

SUBMITTER: Althobaiti MJ 

PROVIDER: S-EPMC10654532 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature