Social Media Analytics for Opinion Mining of Important Events
| dc.contributor.author | Hapikul, Suchada | |
| dc.date.accessioned | 2022-01-19T19:10:40Z | |
| dc.date.available | 2022-01-19T19:10:40Z | |
| dc.date.issued | 2021-04-28 | |
| dc.description.abstract | Statistics of various aspects of each political campaign have been counted on multiple websites. Big data analytics can analyze each candidate's "tags," the slogans and strategies of different candidates, and the public's attention to these keywords and analyze the public trends. Social media can use big data statistics and judgment to make people's decisions deviate and guide the whole public opinion and even change many people's original intention. This work uses data analysis methods in Social media to understand the people's opinion. | |
| dc.identifier.uri | https://hdl.handle.net/1920/12207 | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
| dc.subject | Artificial intelligence | |
| dc.subject | Social media | |
| dc.title | Social Media Analytics for Opinion Mining of Important Events | |
| dc.type | Working Paper |