Detecting Sentiment Shifts in Coronavirus Tweet

About this project.

This research is meant to be a social behavior study focusing on the Coronavirus Tweets Text Mining and Sentiment Analysis and will be flexible to be transferred to other social media text datasets, representing and communicating the information with the public. We implemented several data visualization(word frequency analysis) and machine learning(topic modeling LDA)/deep learning algorithms(Fine-tuned Bert) for this analysis.

As a result, a website with these algorithms is deployed here(Bert is temporarily not applicable here due to the package size limitation). To deploy a complete Covid tweets NLP API, you can check out the source code here.

About the Flask App

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Fig.0 A demo
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Fig.1 Word Cloud and bar charts line charts
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Fig.2 The Bert Fine-tuned models usage for sentiment

Algorithm details

Details of model training are discussed in the report and the slides

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