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Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives
April 24, 2024, 4:47 a.m. | Haohao Zhu, Xiaokun Zhang, Junyu Lu, Youlin Wu, Zewen Bai, Changrong Min, Liang Yang, Bo Xu, Dongyu Zhang, Hongfei Lin
cs.CL updates on arXiv.org arxiv.org
Abstract: Textual personality detection aims to identify personality characteristics by analyzing user-generated content toward social media platforms. Numerous psychological literature highlighted that personality encompasses both long-term stable traits and short-term dynamic states. However, existing studies often concentrate only on either long-term or short-term personality representations, without effectively combining both aspects. This limitation hinders a comprehensive understanding of individuals' personalities, as both stable traits and dynamic states are vital. To bridge this gap, we propose a Dual …
abstract arxiv cs.cl detection dynamic generated however identify literature long-term media personality perspectives platforms social social media social media platforms studies textual type
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