基于情感分析的轩逸汽车销售决策被引量：1

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摘要在电商无限发展的今天,面对着庞大、不规则的网络评论文本数据,如何从中寻找出对企业制作销售决策有用的信息,已成为当下各大商家的关注热点。本文就这一问题展开讨论,试图挖掘出对支撑车企制定或改善销售决策有重要作用的信息。论文主要引用BERT模型并计算相关指标值,同时利用ROST CM6软件对负面情感文本进行社会网络和语义网络分析。结果表明,超过半数购车车主对轩逸汽车的态度明显持积极情感。

作者张龙吴旖婷周遵爽蒋合领

机构地区中国电信股份有限公司贵州分公司产品创新(客户研究)中心哈尔滨商业大学计算机科学与技术贵州财经大学信息学院

出处《数字技术与应用》 2022年第7期109-111,共3页 Digital Technology & Application

关键词情感分析网络评论文本数据积极情感关注热点负面情感语义网络分析

分类号 TN9 [电子电信—信息与通信工程]

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