Extracting Drug-Related Tweets in COVID-19 Pandemic
Author:
Affiliation:
1. University of Birjand,Perlab, Faculty of Electrical and Computer Engineering,Birjand,Iran
2. University of Dubai,College of Engineering and Information Technology,Dubai,United Arab Emirates
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10002418/10002384/10002642.pdf?arnumber=10002642
Reference15 articles.
1. The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets
2. Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis;öztürk;Telematics and Informatics,2018
3. Application of NLP and supervised machine learning in business evaluation and data analysis
4. Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts
5. Extracting User's Food Preferences by Sentiment Analysis
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1. A Statistical Analysis of Sentiment over Different Social Platforms on Drug Usage across High, Middle and Low-Income Countries;Scalable Computing: Practice and Experience;2023-11-17
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