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Proposta de dissertação do MEI |
Título: |
Storify: Graph-based social media story mining |
Proponente(s): |
João Magalhães |
Créditos: |
42 ECTS |
Área científica: |
Graphic Systems and Multimedia |
Início preferencial: |
1º Semestre |
URL: |
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Já estão em curso trabalhos preliminares executados pelo alunos: |
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Breve descrição: |
When an event occurs in real-life, there may be little information available at first. However, as pictures and textual descriptions about the event are published in social-media, they form an evolving story, which is of critical value for the affected or interested persons. This evolving story corresponds to a semantic topic that can be tracked over time with both textual and visual information from multiple social-media sources.
The goal of this thesis is to illustrate a news story with social-media content. Starting from a news story topic and a stream of social-media video and images, the goal is to link a story-segment to image and video material, while also preserving a good flow of the whole visual story. |
Observações: |
- Pré-requisitos: Web Search + Aprendizagem Automática
- Aconselhado a alunos com média igual ou superior a 15.
- Detalhes completos estão disponíveis aqui:
https://www-nlpir.nist.gov/projects/tv2018/Tasks/lnk/ |
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