Publicação
Digital public diplomacy at the Portuguese ministry of foreign affairs: towards the development of an ai-copilot system for diplomats leveraging NIP-enabled public opinion mining
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Martins, Pedro Silva | |
| dc.contributor.advisor | Gaspar, Joana Lino | |
| dc.contributor.author | Heyden, Niklas Caspar Von | |
| dc.date.accessioned | 2024-09-27T13:13:34Z | |
| dc.date.available | 2024-09-27T13:13:34Z | |
| dc.date.issued | 2023-06-01 | |
| dc.date.submitted | 2020-10-04 | |
| dc.description.abstract | Digital Public Diplomacy has become increasingly important for countries to enhance their soft power. However, the large volume of opinion data on social media makes it difficult for governments to effectively monitor and respond to public debates. Meanwhile, little is understood about how opinions emerge and gain momentum online. Therefore, this thesis employs different Natural Language Processing analyses for the automated detection and evaluation of public discourse. By analyzing 13.045 Tweets obtained during the United Nations Ocean Conference 2022, the research revealed leading discussion themes and influential networks on Twitter while measuring the event's impact on the host country Portugal. | pt_PT |
| dc.identifier.tid | 203515102 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/172528 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.subject | International relations | pt_PT |
| dc.subject | Natural language processing | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | Nlp | pt_PT |
| dc.subject | Digital technologies | pt_PT |
| dc.subject | Topic modeling | pt_PT |
| dc.subject | Digital diplomacy | pt_PT |
| dc.subject | Foreign policy | pt_PT |
| dc.subject | Public diplomacy | pt_PT |
| dc.subject | Predictive modeling | pt_PT |
| dc.subject | Network analysis | pt_PT |
| dc.subject | Opinion mining | pt_PT |
| dc.title | Digital public diplomacy at the Portuguese ministry of foreign affairs: towards the development of an ai-copilot system for diplomats leveraging NIP-enabled public opinion mining | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in International Development and Public Policy from the Nova School of Business and Economics | pt_PT |