Lu Dong (董璐)Ph.D. Student
Department of Computer Science and Engineering |
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A Covid Analysis Search Engine
Abstract
Do authoritative figures have any influence on the trend of COVID-19, what is the attitude of the general public toward COVID-19 and vaccines, whether changes in public attitudes are influenced by authoritative speech? We build a search engine to explore these questions. This project crawled 50,000 tweets data through Tweepy Api. The variety of data includes three languages, three countries, authorities, and the general public. The collection topics are related to covid and vaccines. We further use some information retrieval technology to build up a database that support text word segmentation, parsing, sorting, translation, etc. Our backend provides data analysis from multiple dimensions and sentiment analysis using advanced NLP technology. The user interface mimics the design of Google's UI, utilizing technologies such as HTML, CSS, Bootstrap, Javascript, and Ajax. Finally, we use Flask as a server and deployed it on the AWS EC2 cloud.
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Last Updated on Feb, 2023
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