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    Natural language analysis of online health forums

    Hasan, Abul and Levene, Mark and Weston, David (2017) Natural language analysis of online health forums. In: Adams, N. and Tucker, A. and Weston, David (eds.) Advances in Intelligent Data Analysis XVI 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings. Lecture Notes in Computer Science 10584. Springer, pp. 125-137. ISBN 9783319687643.

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    Abstract

    Despite advances in concept extraction from free text, finding meaningful health related information from online patient forums still poses a significant challenge. Here we demonstrate how structured information can be extracted from posts found in such online health related forums by forming relationships between a drug/treatment and a symptom or side effect, including the polarity/sentiment of the patient. In particular, a rule-based natural language processing (NLP) system is deployed, where information in sentences is linked together though anaphora resolution. Our NLP relationship extraction system provides a strong baseline, achieving an F1 score of over 80% in discovering the said relationships that are present in the posts we analysed.

    Metadata

    Item Type: Book Section
    Additional Information: The final publication is available at Springer via the link above.
    Keyword(s) / Subject(s): Natural language processing, Health related forums, Rule-based system
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: David Weston
    Date Deposited: 16 Nov 2017 08:41
    Last Modified: 29 Jul 2019 12:54
    URI: http://eprints.bbk.ac.uk/id/eprint/19581

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