TY - GEN
T1 - Harnessing Microsoft Fabric for News Analytics with Azure Bing Search API
AU - Ganesh, A.
AU - Sheelvant, Abhishek G.
AU - Balachandra, Mamtha
AU - Fernandes, Shreyan J.D.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - This project explores the integration of Microsoft Fabric and Bing News data analytics to uncover insights from vast news datasets. Leveraging the robust capabilities of Microsoft Fabric and the rich information repository of Bing News, the project aims to extract actionable insights and identify emerging trends in news coverage. By employing advanced analytics techniques, the project demonstrates how organizations can transform raw data into meaningful narratives, enabling informed decision-making across various domains. The project also highlights the potential of Microsoft Fabric in enhancing data management and facilitating the implementation of artificial intelligence in news analysis. Through real-world examples and practical applications, this project serves as a catalyst for further research and development in the realm of data analytics and news media.
AB - This project explores the integration of Microsoft Fabric and Bing News data analytics to uncover insights from vast news datasets. Leveraging the robust capabilities of Microsoft Fabric and the rich information repository of Bing News, the project aims to extract actionable insights and identify emerging trends in news coverage. By employing advanced analytics techniques, the project demonstrates how organizations can transform raw data into meaningful narratives, enabling informed decision-making across various domains. The project also highlights the potential of Microsoft Fabric in enhancing data management and facilitating the implementation of artificial intelligence in news analysis. Through real-world examples and practical applications, this project serves as a catalyst for further research and development in the realm of data analytics and news media.
UR - https://www.scopus.com/pages/publications/105004788088
UR - https://www.scopus.com/pages/publications/105004788088#tab=citedBy
U2 - 10.1007/978-981-96-1210-9_12
DO - 10.1007/978-981-96-1210-9_12
M3 - Conference contribution
AN - SCOPUS:105004788088
SN - 9789819612093
T3 - Smart Innovation, Systems and Technologies
SP - 131
EP - 141
BT - Information Systems for Intelligent Systems - Proceedings of ISBM 2024
A2 - In, Chakchai So
A2 - Londhe, Narendra S.
A2 - Bhatt, Nityesh
A2 - Kitsing, Meelis
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd World Conference on Information Systems for Business Management, ISBM 2024
Y2 - 12 September 2024 through 13 September 2024
ER -