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Showing result 1 - 5 of 17 essays matching the above criteria.

  1. 1. Eco-Social Reforms and the Paradox of Complex Change : A qualitative thematic analysis of the national media debate on the 2022 Chilean Constitution

    University essay from Uppsala universitet/Statsvetenskapliga institutionen

    Author : Tilda Janbrink; [2023]
    Keywords : Eco-social-growth trilemma; eco-social policies; policy integration; public support for eco-social reforms; Chile; constitution; qualitative thematic analysis;

    Abstract : 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. READ MORE

  2. 2. If You Seek Sense of Place : Comparing How Local Narratives are Reflected in a Storytelling Strategy

    University essay from Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turism

    Author : Anne Marie Holst; [2023]
    Keywords : strategic storytelling; sense of place; New Zealand; regenerative tourism; Māori;

    Abstract : 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. READ MORE

  3. 3. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yu Hu; [2023]
    Keywords : Neural networks; point cloud; 3D shape generation; 3D shape manipulation; classification; Neurala nätverk; punktmoln; generering av 3D-former; manipulation av 3Dformer; klassificering;

    Abstract : 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. READ MORE

  4. 4. 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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Viktor Karlstrand; [2022]
    Keywords : Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

    Abstract : 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. READ MORE

  5. 5. Semantic Topic Modeling and Trend Analysis

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Jasleen Kaur Mann; [2021]
    Keywords : NLP; unsupervised topic modelling; trend analysis; LDA; BERT; Sentence-BERT; TF-IDF; transformer based language models; document clustering;

    Abstract : This thesis focuses on finding an end-to-end unsupervised solution to solve a two-step problem of extracting semantically meaningful topics and trend analysis of these topics from a large temporal text corpus. To achieve this, the focus is on using the latest develop- ments in Natural Language Processing (NLP) related to pre-trained language models like Google’s Bidirectional Encoder Representations for Transformers (BERT) and other BERT based models. READ MORE