Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40569, first published
.
![Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy](https://asset.jmir.pub/assets/370f7a8741f005360bebf1aa3bab7de4.png 480w,https://asset.jmir.pub/assets/370f7a8741f005360bebf1aa3bab7de4.png 960w,https://asset.jmir.pub/assets/370f7a8741f005360bebf1aa3bab7de4.png 1920w,https://asset.jmir.pub/assets/370f7a8741f005360bebf1aa3bab7de4.png 2500w)
Journals
- Thakur N, Duggal Y, Liu Z. Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets. Computers 2023;12(10):191 View
- Thakur N. Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox. Big Data and Cognitive Computing 2023;7(2):116 View
- Klein A, Gutiérrez Gómez J, Levine L, Gonzalez-Hernandez G. Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers. Journal of Medical Internet Research 2024;26:e50652 View
Books/Policy Documents
- Thakur N, Cho H, Cheng H, Lee H. HCI International 2023 – Late Breaking Papers. View