A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities

Published: 17 Jul 2017 | Version 3 | DOI: 10.17632/dwr4xn8kcv.3
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Description of this data

Language models. As described in the publication titled above.
DSM-langauge-models-3M-LARGE is generated from over 3M posts using window size 5 and dimension 400.

**USE THIS**: DSM-language-model-1B-LARGE is generated from ~ 1B tweets from user timelines where at least 1 medication is mentioned. This model is an n-gram model.

Experiment data files

Latest version

  • Version 3

    2017-07-17

    Published: 2017-07-17

    DOI: 10.17632/dwr4xn8kcv.3

    Cite this dataset

    Sarker, Abeed; Gonzalez, Graciela (2017), “A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities”, Mendeley Data, v3 http://dx.doi.org/10.17632/dwr4xn8kcv.3

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Categories

Social Media, Drug Adverse Reactions, Language Modeling, Pharmacovigilance

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Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.