Gather-Narrow-Extract: A Framework for Studying Local Policy Variation Using Web-Scraping and Natural Language Processing

Autor:	Kylie L. Anglin
Rok vydání:	2019
Předmět:	Computer science 05 social sciences 050301 education computer.software_genre Policy analysis Data science Education Local policy Variation (linguistics) Policy decision 0502 economics and business 050207 economics Computational linguistics 0503 education computer Web scraping Data limitations
Zdroj:	Journal of Research on Educational Effectiveness. 12:685-706
ISSN:	1934-5739 1934-5747
Popis:	Education researchers have traditionally faced severe data limitations in studying local policy variation; administrative data sets capture only a fraction of districts’ policy decisions, a...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87b74ccfb3c7ee162d11c044350d9d6d https://doi.org/10.1080/19345747.2019.1654576 Zobrazit plný text záznamu