Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification
Author:
Affiliation:
1. School of Computer Science, University of Sydney, Australia
2. School of Medical Sciences, University of Sydney, Australia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3485447.3512129
Reference31 articles.
1. Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter
2. Latent dirichlet allocation;Blei M;Journal of machine Learning research 3,2003
3. Using Social Media for Actionable Disease Surveillance and Outbreak Management: A Systematic Literature Review
4. Corinna Cortes and Vladimir Vapnik . 1995. Support-vector networks. Machine learning 20, 3 ( 1995 ), 273–297. Corinna Cortes and Vladimir Vapnik. 1995. Support-vector networks. Machine learning 20, 3 (1995), 273–297.
5. Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity
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