Based on Wikipedia Categories
Authors | Daniel Richter Maximilian Eibl |
|---|---|
Publication date | 2008 |
Links | Original |
Based on Wikipedia Categories - scientific work related to Wikipedia quality published in 2008, written by Daniel Richter and Maximilian Eibl.
Overview
This article describes participation at the VideoCLEF track of the CLEF campaign 2008. Authors designed and implemented a prototype for the classication of the Video ASR data. Authors approach was to regard the task as text classication problem. Authors used terms from Wikipedia categories as training data for text classiers. For the text classication the Naive-Bayes and kNN classier from the WEKA toolkit were used. Authors submitted experiments for classication task 1 and 2. For the translation of the feeds to English (translation task) Google’s AJAX language API was used. The evaluation of the classication task showed bad results for experiments with a precision between 10 and 15 percent. These values did not meet expectations. Interestingly, authors could not improve the quality of the classication by using the provided metadata. But at least the created translation of the RSS Feeds was well.
Embed
Wikipedia Quality
Richter, Daniel; Eibl, Maximilian. (2008). "[[Based on Wikipedia Categories]]".
English Wikipedia
{{cite journal |last1=Richter |first1=Daniel |last2=Eibl |first2=Maximilian |title=Based on Wikipedia Categories |date=2008 |url=https://wikipediaquality.com/wiki/Based_on_Wikipedia_Categories}}
HTML
Richter, Daniel; Eibl, Maximilian. (2008). "<a href="https://wikipediaquality.com/wiki/Based_on_Wikipedia_Categories">Based on Wikipedia Categories</a>".
