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dc.contributor.author | Usama Nazar, 01-135201-105 | |
dc.contributor.author | Muhammad Waleed Nasir, 01-135201-070 | |
dc.date.accessioned | 2024-02-26T11:16:01Z | |
dc.date.available | 2024-02-26T11:16:01Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/123456789/16999 | |
dc.description | Supervised by Dr. Hafiz Ishfaq Ahmad | en_US |
dc.description.abstract | Social media has become an integral part of our lives, and it is now a major source of news and information. However, it can be difficult to keep up with the latest trends and news on different social media platforms. This project aims to address this problem by developing a system that extracts trends and news from different social media platforms and then analyzes and visualizes it on a single platform. The system will work by first collecting data from different social media platforms, such as Twitter, Reddit, Bing, and Google. This data will then be preprocessed and cleaned to remove any noise or irrelevant information. Once the data is clean, it will be analyzed using Natural Language Processing (NLP) techniques to extract trends and news. The system will then visualize the extracted trends and news in a variety of ways, such as charts, graphs, and maps. This will allow users to easily understand the latest trends and news on different social media platforms. The system is expected to be beneficial for a variety of users, including journalists, researchers, and businesses. Journalists can use the system to stay up to date on the latest news and trends. Researchers can use the system to collect data for their research studies. Businesses can use the system to understand customer sentiment and identify new market opportunities | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences | en_US |
dc.relation.ispartofseries | BS (IT);P-02129 | |
dc.subject | What’s Happening | en_US |
dc.subject | Around You! | en_US |
dc.title | What’s Happening Around You! | en_US |
dc.type | Project Reports | en_US |