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Real Time Top Trending Tweet Analysis (RETTA)

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dc.contributor.author Ahmed, Nabeel
dc.contributor.author Hussain, Munir
dc.contributor.author Asif, Zeeshan
dc.contributor.author Qayyum, Hamza
dc.contributor.author Supervised by Khawir Mehmood
dc.date.accessioned 2025-02-07T05:40:03Z
dc.date.available 2025-02-07T05:40:03Z
dc.date.issued 2021-07
dc.identifier.other PCS-414
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/49514
dc.description.abstract RETTA is primarily a data science based project that include data analysis and data visualization of bunch of real time tweets (that will be scrapped from the twitter using a web scrapper) of the specific trend. It will comprise of a dashboard, on which there will be a button to scrape top trends on getting trends we can choose one among twenty trends and get analysis report. Users of this project will be some marketing agencies, decision making department of a company, government or general public. This project is web based application which will use web scrapper to scrape real time data; NLP model to analyze tweets and google charts to visualize result. This back-end is developed on REST API architecture en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Real Time Top Trending Tweet Analysis (RETTA) en_US
dc.type Project Report en_US


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