Title:
Sentiment Search: Make the Internet your Focus Group

dc.contributor.author Durrani, Faris
dc.contributor.author Ahmed, Nemeth
dc.contributor.author Zandstra, Justin
dc.contributor.author Wang, RenChu
dc.contributor.author Lakshmanan, Lakshmi Sree
dc.contributor.author Lin, Shuyan
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Computational Science and Engineering en_US
dc.date.accessioned 2023-01-05T19:30:22Z
dc.date.available 2023-01-05T19:30:22Z
dc.date.issued 2022-12
dc.description This is a final project report under the course CSE 6242 Data Vis & Analysis en_US
dc.description.abstract Sentiment Analysis has been used to identify changing moods of populations. In this project, we have analysed how sentiments revolve over topics from significant world events across social media platform (Facebook, Reddit, Twitter) and news sources (CNN, The New York Times, The Guardian). We have created an interactive visualization tool that allows to filter data on specific keywords and dates, and visualize time series sentiments along with the top words used in posts. This dashboard could potentially be used by businesses or political campaigns to analyze the effect of marketing strategies on public sentiment regarding their product, or to analyze the social climate surrounding certain ideas and issues on multiple platforms. Future steps could include a dynamic rendering of sentiments with new media posts using faster, more efficient algorithms. en_US
dc.identifier.uri http://hdl.handle.net/1853/69993
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries CSE 6242
dc.subject Sentiment en_US
dc.subject Data analysis en_US
dc.subject Social media en_US
dc.title Sentiment Search: Make the Internet your Focus Group en_US
dc.type Text en_US
dc.type.genre Project Report
dspace.entity.type Publication
local.contributor.corporatename School of Computational Science and Engineering
relation.isOrgUnitOfPublication 01ab2ef1-c6da-49c9-be98-fbd1d840d2b1
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