COVID-19 Sentiment Analysis on Social Media

Data Science Capstone Project - DSC180AB B02

Developed by Yunlin Tang, Jiawei Zheng, Zhou Li

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Appendix

• GitHub for Project Code
• GitHub for Website Code

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Reference

• Koyel Chakraborty, Surbhi Bhatia, Siddhartha Bhattacharyya, Jan Platos, Rajib Bag, Aboul Ella Hassanien, Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media, Applied Soft Computing, Volume 97, Part A, 2020, 106754, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2020.106754.

• Michela Del Vicarioa, Alessandro Bessib, Fabiana Zolloa, Fabio Petronic, Antonio Scalaa,d, Guido Caldarellia,d, H. Eugene Stanleye, and Walter Quattrociocchia,1 (2015) The spreading of misinformation online.

• Jmbanda, covid19_twitter(2020), GitHub repository, https://github.com/thepanacealab/covid19_twitter/tree/master/dailies

• edomt, Data on COVID-19 (coronavirus) by Our World in Data, GitHub repository, https://github.com/owid/covid-19-data/tree/master/public/data

• Jason Brownlee, Multivariate Time Series Forecasting with LSTMs in Keras, Machine Learning Mastery, https://machinelearningmastery.com/multivariate-time-series-forecasting-lstms-keras/

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