丰富法兰西银行月度商业调查:来自商业领袖评论文本分析的教训

Banque de France RPS Submitter, M. Ranvier, Mathilde Gerardin
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引用次数: 0

摘要

在法兰西银行每月商业调查的背景下,本文介绍了对商业领袖评论进行文本分析的主要发现。首先,通过基本情绪指数和2009年以来主要社会运动的关键词识别来说明这些数据的丰富性。然后,本文介绍了两种统计应用,讨论了它们的可重复性。第一个应用于2018年的黄背心和2019年的罢工,旨在估计影响明确的事件对GDP的影响。第二个以英国退欧研究为基础,旨在使用监督学习模型和词向量来描述具有多重影响的复杂事件的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enrichment of the Banque de France’s monthly business survey: lessons from textual analysis of business leaders’ comments
In the context of the Banque de France’s monthly business survey, this document presents
the main findings of the textual analysis of business leaders’ comments. First, the richness
of these data is illustrated via an elementary sentiment index and the identification of the
main social movements since 2009 by means of keywords. Then, the article presents two
statistical applications whose reproducibility is discussed. The first one, applied to the 2018
yellow vests and the 2019 strikes, aims to estimate the impact on GDP of an event whose
effect is unequivocal. The second, backed by the study of Brexit, aims to characterize,
using a supervised learning model and word vectors, the effects of a complex event with
multiple impacts.
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