Beyond Negativity: Re-Analysis and Follow-Up Experiments on Hope Speech Detection
TL
TL;DR
This study aims to find computationally efficient yet comparable/superior methods for hope speech detection by identifying messages that invoke positive emotions in people.
Abstract
Health experts assert that hope plays a crucial role in enhancing individuals' physical and mental well-being, facilitating their recovery, and promoting restoration. Hope speech refers to comments, posts and other social media messages that offer support, reassurance, suggestions, inspiration, and insight. The detection of hope speech involves the analysis of such textual content, with the aim of identifying messages that invoke positive emotions in people. Our study aims to find computationally efficient yet comparable/superior methods for hope speech detection. We also make our codebase public at https://github.com/aflah02/Hope_Speech_Detection
References15 items
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Findings of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion
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NLP-CUET@LT-EDI-EACL2021: Multilingual Code-Mixed Hope Speech Detection using Cross-lingual Representation Learner
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Unsupervised Cross-lingual Representation Learning at Scale
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Hope Speech Detection: A Computational Analysis of the Voice of Peace
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