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2017 | OriginalPaper | Buchkapitel

Using Morphological and Semantic Features for the Quality Assessment of Russian Wikipedia

verfasst von : Włodzimierz Lewoniewski, Nina Khairova, Krzysztof Węcel, Nataliia Stratiienko, Witold Abramowicz

Erschienen in: Information and Software Technologies

Verlag: Springer International Publishing

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Abstract

Nowadays, the assessment of the quality and credibility of Wikipedia articles becomes increasingly important. We propose to use morphological and semantic features to estimate the quality of Wikipedia articles in Russian language. We distinguished over 150 linguistic features and divided them into four groups. In these groups, we considered the features of encyclopedic style, readability and subjectivism of the article’s text. Based on Random Forest as a classification algorithm, we show the most importance linguistic features that affect the quality of Russian Wikipedia articles. We compare the classification results of our four linguistic features groups separately. We have achieved the F-measure of 89,75%.

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Vorheriges Kapitel Automatic Spoken Language Identification by Digital Signal Processing Methods. Tatar and Russian Languages

Nächstes Kapitel Analysis of References Across Wikipedia Languages

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Titel: Using Morphological and Semantic Features for the Quality Assessment of Russian Wikipedia
verfasst von: Włodzimierz Lewoniewski
Nina Khairova
Krzysztof Węcel
Nataliia Stratiienko
Witold Abramowicz
Verlag: Springer International Publishing
Buch: Information and Software Technologies
Print ISBN: 978-3-319-67641-8

Electronic ISBN: 978-3-319-67642-5

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-67642-5_46

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