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Quantifying Community Characteristics of Maternal Mortality Using Social Media

A set of 50 pregnancy-related topics derived from a 10% Twitter sample from 2009-2015.

Read the full publication here.

Topics

Available in both csv format and as a MySQL dump.

maternal_mortality_topics_cp

  • id: auto-incremented numeric row id
  • term: unigram in topic
  • category: Numeric topic id (from 0 to 49)
  • weight: Conditional probability of the topic given the unigram, as derived through the LDA process.

maternal_mortality_topics_loglik

  • id: auto-incremented numeric row id
  • term: unigram in topic
  • category: Numeric topic id (from 0 to 49)
  • weight: Posterior likelihood

Citation

Please cite the following paper if you use this data.

@inproceedings{abebegiorgi2020quantifying,
    title={Quantifying Community Characteristics of Maternal Mortality Using Social Media}, 
    author={Abebe, Rediet and Giorgi, Salvatore and Tedijanto, Anna and Buffone, Anneke and Schwartz, H. Andrew}, 
    booktitle={The World Wide Web Conference},
    year={2020}
}

License

Licensed under a GNU General Public License v3 (GPLv3).

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A set of LDA topics derived from pregnancy-related tweets.

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