Automatyczna analiza treści nieustrukturyzowanej jako przykład źródła informacji dla administracji publicznej

Jacek Maślankowski

Abstract

Organization management requires access to reliable and verified data, which allows developing a particular organizational unit by decidents. With information technology development, processing large datasets to acquire valuable information is more common. Such a data source can be social media or comments under news articles. The goal of this article is to present a case study of automatic content analysis to get a general opinion on the initiative taken by public administration units, especially self-government institutions. For this reason, a framework has been developed to allow analysing unstructured content, in which the most common form are comments. The analysis of the results taken from this system allows formulating several conclusions on Big Data tools usability as well as the reliability of the data acquired this way.
Author Jacek Maślankowski KIE
Jacek Maślankowski,,
- Department of Business Informatics
Other language title versionsAutomatic analysis of unstructured content as an example of a data source for the public administration
Journal seriesRoczniki Kolegium Analiz Ekonomicznych, ISSN 1232-4671
Issue year2017
Vol46
Pages161-172
Publication size in sheets0.55
Keywords in EnglishBig Data, social media, text mining, machine learning, sentiment analysis
URL http://rocznikikae.sgh.waw.pl/p/roczniki_kae_z46_12.pdf
Languagepl polski
Score (nominal)9
ScoreMinisterial score = 9.0, 26-02-2018, ArticleFromJournal
Ministerial score (2013-2016) = 9.0, 26-02-2018, ArticleFromJournal
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