short-paper

Unsupervised Classification of Health Content on Reddit

Authors:

Joana M. Barros,

Paul Buitelaar,

Dietrich Rebholz-SchuhmannAuthors Info & Claims

DPH2019: Proceedings of the 9th International Conference on Digital Public Health

Pages 85 - 89

https://doi.org/10.1145/3357729.3357745

Published: 20 November 2019 Publication History

Abstract

Online forums are easily accessible to the public and useful to acquire and disseminate health information, however, advanced methods have to be applied to correctly interpret the content. For this reason, we propose the application of an unsupervised embedding-based approach for health content classification. Specifically, we utilise word embeddings and a clustering method to create content-sensitive word clusters; we then align the health content with the clusters classifying it into illnesses/medication/disease agents. The results suggest that a cosine similarity of 0.70 is preferred for the creation of informative clusters as well as for the automatically generation of synonyms, acronyms, abbreviations and common misspellings. Our approach does not only demonstrate the potential given by discussion forums, in particular, Reddit, for unsupervised content classification but also for dictionary building from informal health content.

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Cited By

Lorenc PMarek PPichl JKonrád JŠedivý J(2021)Benchmark of public intent recognition servicesLanguage Resources and Evaluation10.1007/s10579-021-09563-3Online publication date: 4-Oct-2021
https://doi.org/10.1007/s10579-021-09563-3
Jelodar HWang YOrji RHuang S(2020)Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network ApproachIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.300121624:10(2733-2742)Online publication date: Oct-2020
https://doi.org/10.1109/JBHI.2020.3001216
Terolli EErnst PWeikum G(2020)Focused Query Expansion with Entity Cores for Patient-Centric Health SearchThe Semantic Web – ISWC 202010.1007/978-3-030-62419-4_31(547-564)Online publication date: 1-Nov-2020
https://doi.org/10.1007/978-3-030-62419-4_31

Index Terms

Unsupervised Classification of Health Content on Reddit
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
    2. Health informatics
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
  2. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis

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Published In

cover image ACM Conferences

DPH2019: Proceedings of the 9th International Conference on Digital Public Health

November 2019

147 pages

ISBN:9781450372084

DOI:10.1145/3357729

Program Chairs:
Patty Kostkova
University College London, UK
,
Caroline Wood
University College London, UK
,
Arnold Bosman
Transmissible, Netherlands
,
Floriana Grasso
University of Liverpool, UK
,
Michael Edelstein
Public Health England, UK

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
University College London: University College London

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 November 2019

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Science Foundation Ireland

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DPH2019

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SIGKDD
University College London

DPH2019: 9th International Digital Public Health Conference (2019)

November 20 - 23, 2019

Marseille, France

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Cited By

Lorenc PMarek PPichl JKonrád JŠedivý J(2021)Benchmark of public intent recognition servicesLanguage Resources and Evaluation10.1007/s10579-021-09563-3Online publication date: 4-Oct-2021
https://doi.org/10.1007/s10579-021-09563-3
Jelodar HWang YOrji RHuang S(2020)Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network ApproachIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2020.300121624:10(2733-2742)Online publication date: Oct-2020
https://doi.org/10.1109/JBHI.2020.3001216
Terolli EErnst PWeikum G(2020)Focused Query Expansion with Entity Cores for Patient-Centric Health SearchThe Semantic Web – ISWC 202010.1007/978-3-030-62419-4_31(547-564)Online publication date: 1-Nov-2020
https://doi.org/10.1007/978-3-030-62419-4_31

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