Syntactic measurement of governance networks from textual data, with application to water management plans.
This paper demonstrates an automated workflow for extracting network data from policy documents. We use natural language processing tools, part‐of‐speech tagging, and syntactic dependency parsing, to represent relationships between real‐world entities based on how they are described in text. Using a...
| Publicado en: | Policy Studies Journal Vol. 52; no. 4; pp. 941 - 955 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Nov2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=180972872&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 180972872 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0190292X PSJ jtl: Policy Studies Journal issn: 0190292X maglogo: Y pubinfo: dt: Nov2024 vid: 52 iid: 4 pid: 480 pub: Wiley-Blackwell artinfo: ui: 180972872 10.1111/psj.12556 ppf: 941 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 2.6MB tig: atl: Syntactic measurement of governance networks from textual data, with application to water management plans. aug: au: Zufall, Elise Scott, Tyler A. affil: Center for Environmental Policy and Behavior, University of California, Davis California,, USA Department of Environmental Science and Policy, University of California, Davis California,, USA su: Network governance Public administration Natural language processing Groundwater management Water management sug: subj: Network governance Public administration Other General Government Support Natural language processing Groundwater management Water management keyword: automation governance networks groundwater management network analysis NLP procesamiento del lenguaje natural redes de gobernanza texto como datos 文本即数据 治理网络 自然语言处理 automation governance networks groundwater management network analysis NLP procesamiento del lenguaje natural redes de gobernanza texto como datos 文本即数据 治理网络 自然语言处理 ab: This paper demonstrates an automated workflow for extracting network data from policy documents. We use natural language processing tools, part‐of‐speech tagging, and syntactic dependency parsing, to represent relationships between real‐world entities based on how they are described in text. Using a corpus of regional groundwater management plans, we demonstrate unique graph motifs created through parsing syntactic relationships and how document‐level syntax can be aggregated to develop large‐scale graphs. This approach complements and extends existing methods in public management and governance research by (1) expanding the feasible geographic and temporal scope of data collection and (2) allowing for customized representations of governance systems to fit different research applications, particularly by creating graphs with many different node and edge types. We conclude by reflecting on the challenges, limitations, and future directions of automated, text‐based methods for governance research. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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