Sökning: "language and art"

Visar resultat 1 - 5 av 418 uppsatser innehållade orden language and art.

  1. 1. "13 meter från marken" : Poetiska texter i en svensk niondeklass

    Master-uppsats, Uppsala universitet/Institutionen för pedagogik, didaktik och utbildningssociologi

    Författare :Mersad Hodzic; [2024]
    Nyckelord :poetry; art; ekphrasis; identity; positionality; critical literacy; thematic narrative analysis; culturally sustaining pedagogy; Swedish language and literature teaching;

    Sammanfattning : This master’s thesis investigates poetic text writing through a teaching project conducted on a secondary school class in Sweden. Inspired by ekphrastic poetry, the teaching project consisted of poetry and literature reading. The students visited a sculpture related to the literature, upon which they wrote poetic texts about the sculpture. LÄS MER

  2. 2. "En dagstidning i betong" : en studie av den samtida receptionen av Siri Derkerts Ristningar i naturbetong (1965) på Östermalmstorgs tunnelbanestation i Stockholm

    Kandidat-uppsats, Uppsala universitet/Konstvetenskapliga institutionen

    Författare :Linda Wigers; [2024]
    Nyckelord :Art History; Siri Derkert; Östermalmstorg; art criticism; discourse analysis; reception aesthetics; public art; public transport art; Stockholm subway art; Swedish 1960’s;

    Sammanfattning : The aim of this study is to analyse the contemporary art critical reception of Siri Derkert’s Ristningar i naturbetong (translates to Engravings in natural concrete) (1965) at the metro station of Östermalmstorg in central Stockholm, and further contextualising the reception within the art debate of modern and public art in 1960’s Sweden. Using linguist Norman Fairclough’s three step-discourse analysis as both methodological and theoretical starting points, combined with art historian Wolfgang Kemp's reception aesthetics, archived newspaper articles, principally from the year 1965, are read and analysed in the study. LÄS MER

  3. 3. A Case Study on the Limitations of Automated Duplicate Bug Report Detection

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Malte Götharsson; Karl Stahre; [2023-09-26]
    Nyckelord :;

    Sammanfattning : Identifying duplicate bug reports is crucial in software development as it helps streamline the debugging process, reduce redundancy, and enhance overall efficiency. By addressing the challenges associated with existing automated techniques and leveraging testers’ expertise, the tool proposed in this study aims to improve the accuracy of duplicate detection, saving valuable time and resources while ensuring that potential duplicates are not overlooked. LÄS MER

  4. 4. The State of Stateful Serverless Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ashmitha Ambastha; [2023]
    Nyckelord :Stateful Serverless Systems; Azure Durable Functions; Apache Flink StateFun; Kalix; Cloudburst; Function-as-a-Service; Serverlösa system utan tillstånd; Azure Durable Functions; Apache Flink StateFun; Kalix; Cloudburst; funktion som tjänst;

    Sammanfattning : Serverless computing and Function-as-a-service are popular paradigms that simplify application development by abstracting the development layer from the underlying infrastructure components. These systems work in a pay-as-you-go model and provide an efficient environment for developers to focus entirely on developing their business logic. LÄS MER

  5. 5. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :David Yu; [2023]
    Nyckelord :Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER