基于情感增强非参数模型的社交媒体观点聚类(A Sentiment Enhanced Nonparametric Model for Social Media Opinion Clustering)

CCL 2022 · Kan Liu, Yu Chen, Jiarui He ·

“本文旨在使用文本聚类技术,将社交媒体文本根据用户主张的观点汇总,直观呈现网民群体所持有的不同立场。针对社交媒体文本模式复杂与情感丰富等特点,本文提出使用情感分布增强方法改进现有的非参数短文本聚类算法,以高斯分布建模文本情感,捕获文本情感特征的同时能够自动确定聚类簇数量并实现观点聚类。在公开数据集上的实验显示,该方法在多项聚类指标上取得了超越现有模型的聚类表现,并在主观性较强的数据集中具有更显著的优势。”

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基于情感增强非参数模型的社交媒体观点聚类(A Sentiment Enhanced Nonparametric Model for Social Media Opinion Clustering)

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