Sökning: "Latent Semantic Analysis"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden Latent Semantic Analysis.
1. Eco-Social Reforms and the Paradox of Complex Change : A qualitative thematic analysis of the national media debate on the 2022 Chilean Constitution
Master-uppsats, Uppsala universitet/Statsvetenskapliga institutionenSammanfattning : By now, it is an acknowledged fact that economic growth, social justice, and environmental sustainability are interconnected. Often referred to as the eco-social-growth trilemma, the challenge is to achieve synergy between the objectives and avoid trade-offs. LÄS MER
2. If You Seek Sense of Place : Comparing How Local Narratives are Reflected in a Storytelling Strategy
Master-uppsats, Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turismSammanfattning : Strategic storytelling has become a popular instrument for destination marketing. Often, however, these stories neglect perspectives of the host community which is why recent academic literature demands for a more participatory and holistic approach that integrates and acknowledges the host community’s sense of place. LÄS MER
3. TILLITSDISKURSEN I LÄROMEDLEN: : En tematisk läromedelsanalys i samhällskunskap
Uppsats för yrkesexamina på grundnivå, Umeå universitet/Statsvetenskapliga institutionenSammanfattning : When measuring people’s trust, research show a negative trend where people’s trust over time is declining globally, where digitalization is accelerating the process. Trust is a key component in a democratic society and social studies has the task of communicating democratic values and integrate the students in the democratic process. LÄS MER
4. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. LÄS MER
5. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. LÄS MER
