Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data

Author:

Azeroual Otmane1ORCID,Nacheva Radka2ORCID,Nikiforova Anastasija3ORCID,Störl Uta4ORCID,Fraisse Amel5ORCID

Affiliation:

1. German Centre for Higher Education Research and Science Studies (DZHW), Germany

2. Department of Informatics, University of Economics - Varna, Bulgaria

3. Institute of Computer Science, University of Tartu, Estonia

4. Chair of Databases and Information Systems, University of Hagen, Germany

5. University of Lille, GERIICO - Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication, France

Publisher

ACM

Reference57 articles.

1. Agarwal , P. , Tang , J. , Narayanan , A. N. L. , & Zhuang , J. ( 2020 ). Big data and predictive analytics in fire risk using weather data. Risk analysis, 40(7), 1438-1449 . Agarwal, P., Tang, J., Narayanan, A. N. L., & Zhuang, J. (2020). Big data and predictive analytics in fire risk using weather data. Risk analysis, 40(7), 1438-1449.

2. Addressing barriers to big data

3. Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance

4. Predictive analytics on open big data for supporting smart transportation services

5. Brunk , J. , Stierle , M. , Papke , L. , Revoredo , K. , Matzner , M. , & Becker , J. ( 2021 ). Cause vs. effect in context-sensitive prediction of business process instances. Information systems, 95, 101635 . Brunk, J., Stierle, M., Papke, L., Revoredo, K., Matzner, M., & Becker, J. (2021). Cause vs. effect in context-sensitive prediction of business process instances. Information systems, 95, 101635.

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