不同离散情绪的表达是否与时间有关? 来自在线中文评论的证据使用情绪分析和人类行为动态
Liu Li-Na1, Qi Jia-Yin2, Wang Sheng-Feng3
1School of Modern Post (School of Automation), Beijing University of Posts and Telecommunication, Beijing, China.
Frontiers in psychology
|March 21, 2024
概括
产品评价中的消费者情绪在购买后不久达到顶峰,一些情绪在11日左右出现第二个峰值. 这种模式揭示了对在线消费者行为和审查动态的洞察力.
科学领域:
- 计算社会科学 计算社会科学
- 消费者心理学 消费者心理学
- 自然语言处理自然语言处理.
背景情况:
- 在线消费者评论是复杂的,包含丰富的情感数据.
- 了解购买评论时间间隔和离散情绪之间的关系至关重要.
研究的目的:
- 分析产品评论中表达的离散情绪与自购买以来的时间之间的关系.
- 为了研究这些情绪的分布和行为动态,随着时间的推移.
主要方法:
- 使用OCC模型进行离散情绪分类.
- 将监督机器学习应用于来自京东商场的大量中国手机评论.
- 分析了各种"购买评论"时间间隔的情绪分布.
主要成果:
- 评论情绪的主要峰值发生在购买后的第一天,逐渐下降.
- 满足,爱和仇恨的情绪在第11天呈现出次要的峰值,这表明双模分布和客观性.
- 情绪分布遵循权力规律,并表现出"强烈的发作和弱记忆"的行为动态.
- 佩和责备的情绪在购买后立即最为集中,与服务和物流有关.
结论:
- 这项研究揭示了消费者在评论中的情绪表达中明显的时间模式.
- 调查结果为电子商务平台,营销人员和产品开发人员提供了宝贵的见解.
- 了解这些动态可以为购买决策提供信息并改善服务.
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