Martins, Pedro SilvaGaspar, Joana LinoHeyden, Niklas Caspar Von2024-09-272024-09-272023-06-012020-10-04http://hdl.handle.net/10362/172528Digital 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.engMachine learningInternational relationsNatural language processingArtificial intelligenceNlpDigital technologiesTopic modelingDigital diplomacyForeign policyPublic diplomacyPredictive modelingNetwork analysisOpinion miningmaster thesis203515102