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Lecture Notes in Computer Science
This article describes our participation at the VideoCLEF track of the CLEF campaign 2008. We designed and implemented a prototype for the classification of the Video ASR data. Our approach was to regard the task as text classification problem. We used terms from Wikipedia categories as training data for our text classifiers. For the text classification the Naive-Bayes and kNN classifier from the WEKA toolkit were used. We submitted experiments for classification task 1 and 2. For thedoi:10.1007/978-3-642-04447-2_123 fatcat:wu33ssqhfzey7lc3p5tmcledlm