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Media analysis through contrast pattern miningPollak, Senja, 1980-Data mining aims at constructing models or finding interesting patterns. This paper presents a selection of data and text mining approaches for finding contrasting patterns in newspaper text corpora. ... This study analyzes a corpus of articles covering the 2007 Kenyan elections and post-electrion crisis, attempting to capture the difference between local (Kenyan) and Western (British and US) newspaper articles. We have first applied a contrast set mining method aimed at extracting contrasting patterns in articles of different new sources. We have also applied a tool for semi-automated topic ontology construction Ontogen, enforcing the separation into clusters of localand Western documents, and analyzed the keywords proposed by the Support Vector Machine classifier that best distinguish between the two classes. Next we used the same tool for finding the topics by k-means clustering of the entire document corpus and interpreted the contrasting words between local and Western views on each of these topics. The most interesting contrasting patterns reveal that, in contrast to local media, the Western press interpreted the elections from the ethnic perspective.Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasleLeto - 2010Jezik - angleškiCOBISS.SI-ID - 45631330
Avtor
Pollak, Senja, 1980-
Teme
klasifikacije besedil |
besediloslovje |
novinarstvo |
rudarjenje podatkov |
rudarjenje besedil |
kontrastni vzorci |
kontrastne ključne besede |
jezikovne tehnologije |
informacijska tehnologija |
analiza medijev |
Kenija |
volitve |
internet |
text classification |
text linguistics |
journalism |
text mining |
data mining |
contrast patterns |
contrast keywords |
language technologies |
information technology |
media analysis |
Kenya |
elections
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Pollak, Senja, 1980- | 31844 |
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