Political analytics-as-a-service pipeline
This project details a Analytics-as-a-Service application for political events deployed on the cloud. The objective of this project is to create an easy-to-use application that generates insights on political events from Twitter. This application offers powerful analytics features using intuitive vi...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166110 |
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author | Gunturi, Kushal Sai |
author2 | Gao Cong |
author_facet | Gao Cong Gunturi, Kushal Sai |
author_sort | Gunturi, Kushal Sai |
collection | NTU |
description | This project details a Analytics-as-a-Service application for political events deployed on the cloud. The objective of this project is to create an easy-to-use application that generates insights on political events from Twitter. This application offers powerful analytics features using intuitive visualisations and Machine Learning models. The learning aims from this project are to develop a keen sense for system-design on the cloud, and gain exposure to the key technologies driving the cloud enterprise transformation in the market. I hope to use this Final Year Project as a catalyst for learning the necessary practical skills before I begin work in the industry after graduation. |
first_indexed | 2024-10-01T07:34:15Z |
format | Final Year Project (FYP) |
id | ntu-10356/166110 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:34:15Z |
publishDate | 2023 |
publisher | Nanyang Technological University |
record_format | dspace |
spelling | ntu-10356/1661102023-04-21T15:37:23Z Political analytics-as-a-service pipeline Gunturi, Kushal Sai Gao Cong School of Computer Science and Engineering gaocong@ntu.edu.sg Engineering::Computer science and engineering This project details a Analytics-as-a-Service application for political events deployed on the cloud. The objective of this project is to create an easy-to-use application that generates insights on political events from Twitter. This application offers powerful analytics features using intuitive visualisations and Machine Learning models. The learning aims from this project are to develop a keen sense for system-design on the cloud, and gain exposure to the key technologies driving the cloud enterprise transformation in the market. I hope to use this Final Year Project as a catalyst for learning the necessary practical skills before I begin work in the industry after graduation. Bachelor of Engineering (Computer Science) 2023-04-21T08:21:20Z 2023-04-21T08:21:20Z 2023 Final Year Project (FYP) Gunturi, K. S. (2023). Political analytics-as-a-service pipeline. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166110 https://hdl.handle.net/10356/166110 en application/pdf Nanyang Technological University |
spellingShingle | Engineering::Computer science and engineering Gunturi, Kushal Sai Political analytics-as-a-service pipeline |
title | Political analytics-as-a-service pipeline |
title_full | Political analytics-as-a-service pipeline |
title_fullStr | Political analytics-as-a-service pipeline |
title_full_unstemmed | Political analytics-as-a-service pipeline |
title_short | Political analytics-as-a-service pipeline |
title_sort | political analytics as a service pipeline |
topic | Engineering::Computer science and engineering |
url | https://hdl.handle.net/10356/166110 |
work_keys_str_mv | AT gunturikushalsai politicalanalyticsasaservicepipeline |