Data Analytic approach for Opinion Mining in Important Events
| dc.contributor.author | Xu, Ge | |
| dc.date.accessioned | 2022-01-19T17:06:44Z | |
| dc.date.available | 2022-01-19T17:06:44Z | |
| dc.date.issued | 2021-04-28 | |
| dc.description.abstract | The best way to predict the future is to study the past. This is one of the basic ideas behind big data analytics. As an example, some presidents utilize a data-driven approach in their campaign for the elected presidency. The campaign had a data analytics team of people. It shows how deeply data analytics has impacted the world, from recommending products to customers on e-commerce sites (i.e., using predictive analytics) to electing the most powerful officials in the free world. Big data analytics is truly everywhere (Big Data Analytics and Predicting Election Results, 2019).In this work, we analyze important events based on online data. | |
| dc.identifier.uri | https://hdl.handle.net/1920/12200 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
| dc.subject | Data mining | |
| dc.subject | Analytics | |
| dc.subject | Artificial intelligence | |
| dc.title | Data Analytic approach for Opinion Mining in Important Events | |
| dc.type | Working Paper |