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- W829184410 abstract "Information Quality assessment in Wikipedia has become an ever-growing research line in the last years. However, few efforts have been accomplished in Spanish Wikipedia, despite being Spanish, one of the most spoken languages in the world by native speakers. In this respect, we present the first study to automatically assess information quality in Spanish Wikipedia, where Featured Articles identification is evaluated as a binary classification task. Two popular classification approaches like Naive Bayes and Support Vector Machine (SVM) are evaluated with different document representations and vocabulary sizes. The obtained results show that FA identification can be performed with an F1 score of 0.81, when SVM is used as classification algorithm and documents are represented with a binary codification of the bag-of-words model with reduced vocabulary." @default.
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- W829184410 date "2014-01-01" @default.
- W829184410 modified "2023-09-24" @default.
- W829184410 title "Ideentifying featured articles in Spanish Wikipedia" @default.
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