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

Jacek Maślankowski
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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
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