Using wikipedia with associative networks for document classification
|Using wikipedia with associative networks for document classification|
|Author(s)||Bloom N., Theune M., De Jong F.M.G.|
|Published in||ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning|
|Keyword(s)||Unknown (Extra: Associative network, Document Classification, Reuters-21578, Text classification, Wikipedia, Classification (of information), Learning systems, Neural networks, Text processing, Information retrieval systems)|
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Using wikipedia with associative networks for document classification is a 2013 conference paper written in English by Bloom N., Theune M., De Jong F.M.G. and published in ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
We demonstrate a new technique for building associative networks based on Wikipedia, comparing them to WordNet-based associative networks that we used previously, finding the Wikipedia-based networks to perform better at document classification. Additionally, we compare the performance of associative networks to various other text classification techniques using the Reuters-21578 dataset, establishing that associative networks can achieve comparable results.
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