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		<identifier>oai:zbc.uz.zgora.pl:85907</identifier>
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<dc:title xml:lang="pl"><![CDATA[A case study in text mining of discussion forum posts: Classification with bag of words and global vectors]]></dc:title>
<dc:creator><![CDATA[Cichosz, Paweł]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[text mining]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[discussion forums]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[text representation]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[document classification]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[word embedding]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[Despite the rapid growth of other types of social media, Internet discussion forums remain a highly popular communication channel and a useful source of text data for analyzing user interests and sentiments. Being suited to richer, deeper, and longer discussions than microblogging services, they particularly well reflect topics of long-term, persisting involvement and areas of specialized knowledge or experience. Discovering and characterizing such topics and areas by text mining algorithms is therefore an interesting and useful research direction.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[This work presents a case study in which selected classification algorithms are applied to posts from a Polish discussion forum devoted to psychoactive substances received from home-grown plants, such as hashish or marijuana. The utility of two different vector text representations is examined: the simple bag of words representation and the more refined embedded global vectors one.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[While the former is found to work well for the multinomial naive Bayes algorithm, the latter turns out more useful for other classification algorithms: logistic regression, SVMs, and random forests. The obtained results suggest that post-classification can be applied for measuring publication intensity of particular topics and, in the case of forums related to psychoactive substances, for monitoring the risk of drug-related crime.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Uciński, Dariusz - red.]]></dc:contributor>
<dc:date><![CDATA[2018]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/85907/AMCS_2018_28_4_14.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/100899/edition/85907/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:85907]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 28, number 4 (2018)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=110]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:100899]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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