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Utilizing deep learning and graph mining to identify drug use on Twitter data

Utilizing deep learning and graph mining to identify drug use on Twitter data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2843284efdfb4c67ba1c8d0ff708aceb

Utilizing deep learning and graph mining to identify drug use on Twitter data

About this item

Full title

Utilizing deep learning and graph mining to identify drug use on Twitter data

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2020-12, Vol.20 (Suppl 11), p.304-304, Article 304

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of a collected set of Twitter data, a model will be developed for predicting positively referenced, drug-related tweets. From this, trends and correlations can be determined.
Social...

Alternative Titles

Full title

Utilizing deep learning and graph mining to identify drug use on Twitter data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2843284efdfb4c67ba1c8d0ff708aceb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2843284efdfb4c67ba1c8d0ff708aceb

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-020-01335-3

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