情绪分析:情绪分析:深度Bi-LSTM +注意力模型-源码

上传者: 42172572 | 上传时间: 2021-03-19 17:49:26 | 文件大小: 3.42MB | 文件类型: ZIP
情绪分析 总览 情感分析是一种自然语言处理(NLP)任务,其目的是评估文本块的极性/情感。 根据定义,广泛用于客户关系管理(CRM)的环境中,用于自动评估评论和调查回复以及社交媒体。 情绪分析中常见的子任务是: 消息极性分类:给定一条消息,对消息的整体上下文极性进行分类是正面,负面还是中性。 基于主题或基于实体的消息极性分类:给定消息和主题或实体,将消息按该主题或实体分类。 SemEval(国际语义评估研讨会)是一个流行的,专门负责情感分析任务的研讨会。 有关此类任务(任务4)的最新年度(2017年)概述,请访问: : 。 该项目当前仅针对“消息极性分类”子任务。 该存储库包含:

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