Natural Language Processing and Futures Studies

Walter Kehl; Mike Jackson; Alessandro Fergnani

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Natural Language Processing and Futures Studies

机译：Natural Language Processing and Futures Studies

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摘要

Because the input for Futures Studies is to a very high degree formulated as written words and texts, methods which automate the processing of texts can substantially help Futures Studies. At Shaping Tomorrow , we have developed a software system using Natural Language Processing (NLP), a subfield of Artificial Intelligence, which automatically analyzes publicly available texts and extracts future-relevant data from theses texts. This process can be used to study the futures. This article discusses this software system, explains how it works with a detailed example, and shows real-life applications and visualizations of the resulting data. The current state of this method is just the first step; a number of technological improvements and their possible benefits are explained. The implications of using this software system for the field of Futures Studies are mostly positive, but there are also a number of caveats.

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来源
《world future review》 |2020年第2期|181-197|共17页
作者
Walter Kehl; Mike Jackson; Alessandro Fergnani;
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作者单位

Foshan University;

Sheffield Hallam University;

Sino-US Global Logistics Institute, Shanghai Jiao Tong University;

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原文格式 PDF
正文语种英语
中图分类
关键词
Natural Language Processing; Big Data; Artificial Intelligence; software; public data; foresight;

Natural Language Processing and Futures Studies

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