基于LTP文本分类的大数据情绪分析商业环境的公众看法 - - 以黑龙江省为例
Kan Liu1, Xueying Sun1, Hongrui Zhou1
1School of Management, Harbin University of Commerce, Heilongjiang, 150028, China.
Heliyon
|October 20, 2023
概括
本研究使用大数据文本挖掘和情绪分析 (SA) 来衡量公众对商业环境的看法. 调查结果显示,公众论显著影响商业环境评估,突出了需要改进的关键领域.
科学领域:
- 工商管理 工商管理
- 数据科学数据科学数据科学
- 公共政策 公共政策
背景情况:
- 传统的商业环境评估依赖于调查和官方数据,往往忽视了公众的看法.
- 公共认知是评估商业环境的一个关键因素,但研究不足.
研究的目的:
- 通过整合大数据文本挖掘和情绪分析 (SA) 来探索公众对商业环境的看法.
- 确定影响公众对商业环境看法的关键因素,并提出可行的改进措施.
主要方法:
- 利用大数据文本挖掘来处理大量与商业环境相关的文本数据.
- 应用情绪分析 (SA) 来量化论并减少分析偏见.
- 进行了一项专注于黑龙江省的经验研究,以验证该方法.
主要成果:
- 大数据文本挖掘和SA的整合有效地捕捉了主题特征和公众对商业环境的情绪.
- 公众的看法是由标准的商业环境维度和重大论影响所塑造的.
- 确定了黑龙江省的具体问题:经济不发达,人才流失,政府效率低,政策差距,执法问题,气候和城市建设.
结论:
- 综合方法提供了对商业环境的更全面,更不偏见的评估.
- 解决公众关切需要改善市场系统,政府效率,政策,执法,基础设施和文化创新.
- 改善商业环境需要对结构改进和论管理的双重重点.
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