Economics at your fingertips  

Automatic Analysis of Unstructured Content as an Example of a Data Source for the Public Administration

Jacek Maślankowski
Additional contact information
Jacek Maślankowski: Uniwersytet Gdański

Collegium of Economic Analysis Annals, 2017, issue 46, 161-172

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.

Keywords: Big Data; social media; text mining; machine learning; sentiment analysis (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link) Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Collegium of Economic Analysis Annals is currently edited by Joanna Plebaniak, Beata Czarnacka-Chrobot

More articles in Collegium of Economic Analysis Annals from Warsaw School of Economics, Collegium of Economic Analysis Contact information at EDIRC.
Series data maintained by Michał Bernardelli ().

Page updated 2018-02-24
Handle: RePEc:sgh:annals:i:46:y:2017:p:161-172