贫困在可持续政策中的重要性:一种理解在线意见的方法

Actas del Congreso Internacional de Ingeniería de Sistemas 2020: Construyendo un mundo inteligente para la sostenibilidad Pub Date : 1900-01-01 DOI:10.26439/ciis2020.5476

M. A. del-Pino, Arezo Bodaghi, Pierre Watine, K. Schmitt

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引用次数: 1

摘要

在2019年收集了24天与贫困和基本收入相关的推特数据，然后进行清理并准备进行自然语言处理。7%的数据子集被手动标记用于情感分析，以便通知人工智能(AI)，人工智能在该子集上进行训练和验证。我们给出了7%验证样本和整个数据库的结果。这种对公众舆论对贫困的分析是在可持续发展目标和对减贫政策的支持范围内进行的。

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The Importance of Poverty in Sustainability Policies: An Approach to Understanding Online Opinion

Twitter data related to poverty and basic income was collected for 24 days in 2019, and then was cleaned and prepared for natural language processing. A 7 % subset of the data was manually labeled for sentiment analysis in order to inform the artificial intelligence (AI), which was trained and verified on this subset. We present the results for both the 7 % verification sample and the entire database. This analysis of public opinion on poverty is situated within the Sustainable Development Goals and the support for poverty reduction policies.

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Actas del Congreso Internacional de Ingeniería de Sistemas 2020: Construyendo un mundo inteligente para la sostenibilidad

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