JST ：Joint sentiment topic model & ASUM ：Aspect sentiment unification model
Joint sentiment /topic model JST模型从文本检测情感和主题 之前的工作缺点：基于机器学习的情感分类需要大量的人工标记； 一个领域训练的情感分类模型不能很好地应用于另一个领域； 主题/特征检测和情感分类经常分开来进行，忽略了它们的相互依赖性。 JST 同时建模话题和情感 情感分析可以分为三类：积极，消极和neutral。更细粒度的可以分析单个用户对特定item和话
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相关文章
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