Using Wikipedia with associative networks for document classification

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
    24 Downloads (Pure)

    Abstract

    We demonstrate a new technique for building associative networks based on Wikipedia, comparing them to WordNet-based associative networks that we used previously, nding 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.
    Original languageUndefined
    Title of host publicationProceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013
    Place of PublicationBruges
    PublisherESANN
    Pages47-52
    Number of pages6
    ISBN (Print)978-2-87419-081-0
    Publication statusPublished - 24 Apr 2013

    Publication series

    Name
    PublisherESANN

    Keywords

    • EWI-24137
    • METIS-302578
    • IR-88564

    Cite this

    Bloom, N., Theune, M., & de Jong, F. M. G. (2013). Using Wikipedia with associative networks for document classification. In Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013 (pp. 47-52). Bruges: ESANN.
    Bloom, Niels ; Theune, Mariet ; de Jong, Franciska M.G. / Using Wikipedia with associative networks for document classification. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges : ESANN, 2013. pp. 47-52
    @inproceedings{61459f2ef4d94093bd60fccb015b556e,
    title = "Using Wikipedia with associative networks for document classification",
    abstract = "We demonstrate a new technique for building associative networks based on Wikipedia, comparing them to WordNet-based associative networks that we used previously, nding 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.",
    keywords = "EWI-24137, METIS-302578, IR-88564",
    author = "Niels Bloom and Mariet Theune and {de Jong}, {Franciska M.G.}",
    year = "2013",
    month = "4",
    day = "24",
    language = "Undefined",
    isbn = "978-2-87419-081-0",
    publisher = "ESANN",
    pages = "47--52",
    booktitle = "Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013",

    }

    Bloom, N, Theune, M & de Jong, FMG 2013, Using Wikipedia with associative networks for document classification. in Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. ESANN, Bruges, pp. 47-52.

    Using Wikipedia with associative networks for document classification. / Bloom, Niels; Theune, Mariet; de Jong, Franciska M.G.

    Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges : ESANN, 2013. p. 47-52.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    TY - GEN

    T1 - Using Wikipedia with associative networks for document classification

    AU - Bloom, Niels

    AU - Theune, Mariet

    AU - de Jong, Franciska M.G.

    PY - 2013/4/24

    Y1 - 2013/4/24

    N2 - We demonstrate a new technique for building associative networks based on Wikipedia, comparing them to WordNet-based associative networks that we used previously, nding 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.

    AB - We demonstrate a new technique for building associative networks based on Wikipedia, comparing them to WordNet-based associative networks that we used previously, nding 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.

    KW - EWI-24137

    KW - METIS-302578

    KW - IR-88564

    M3 - Conference contribution

    SN - 978-2-87419-081-0

    SP - 47

    EP - 52

    BT - Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013

    PB - ESANN

    CY - Bruges

    ER -

    Bloom N, Theune M, de Jong FMG. Using Wikipedia with associative networks for document classification. In Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges: ESANN. 2013. p. 47-52