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An unsupervised and customizable misspelling generator for mining noisy
  health-related text sources

An unsupervised and customizable misspelling generator for mining noisy health-related text sources

4 June 2018
A. Sarker
G. Gonzalez-Hernandez
ArXivPDFHTML

Papers citing "An unsupervised and customizable misspelling generator for mining noisy health-related text sources"

4 / 4 papers shown
Title
Social media mining for toxicovigilance of prescription medications:
  End-to-end pipeline, challenges and future work
Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work
A. Sarker
14
1
0
18 Nov 2022
Characterizing drug mentions in COVID-19 Twitter Chatter
Characterizing drug mentions in COVID-19 Twitter Chatter
Ramya Tekumalla
Juan M. Banda
9
6
0
20 Jul 2020
Automatically Identifying Comparator Groups on Twitter for Digital
  Epidemiology of Pregnancy Outcomes
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
A. Klein
Abeselom Gebreyesus
G. Gonzalez-Hernandez
11
6
0
16 Aug 2019
Deep Neural Networks Ensemble for Detecting Medication Mentions in
  Tweets
Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
D. Weissenbacher
A. Sarker
A. Klein
K. O’Connor
Arjun Magge Ranganatha
G. Gonzalez-Hernandez
21
47
0
10 Apr 2019
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