Essays about: "Textual similarity"

Showing result 1 - 5 of 21 essays containing the words Textual similarity.

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

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Malte Götharsson; Karl Stahre; [2023-09-26]
    Keywords : ;

    Abstract : 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. READ MORE

  3. 2. Improving customer support efficiency through decision support powered by machine learning

    University essay from Linköpings universitet/Programvara och system

    Author : Simon Boman; [2023]
    Keywords : Machine Learning; AI; NLP; Natural Language Processing; GPT-3; GPT-4; Recommendation System; Decision Support; Semantic Textual Similarity; Text Similarity; Customer Support Tickets; Case Study; Customer Support Efficiency; Healthcare; Medical Technology;

    Abstract : More and more aspects of today’s healthcare are becoming integrated with medical technology and dependent on medical IT systems, which consequently puts stricter re-quirements on the companies delivering these solutions. As a result, companies delivering medical technology solutions need to spend a lot of resources maintaining high-quality, responsive customer support. READ MORE

  4. 3. The Influence of Artificial Intelligence on Songwriting : Navigating Attribution Challenges and Copyright Protection

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

    Author : Karin Norberg; Othilia Norell; [2023]
    Keywords : Artificial Intelligence; Attribution; Copyright; Machine Learning; Music; Natural Language Processing; Royalties; Songwriting;

    Abstract : This report explores the evolving landscape of songwriting and copyright protection, with a focus on the influence of Artificial Intelligence (AI). It highlights the need for objective measures of attribution in music co-creation, including collaborations involving AI. READ MORE

  5. 4. Textual Analysis and Detection of AIGenerated Academic Texts : A Study of ChatGPT Output, User Instructions, and Machine-Learning Classifiers

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Adnan Al Medawer; [2023]
    Keywords : AI-generated texts; ChatGPT; Machine-learning; Text characteristics; Language models; Text Analysis; Detection tool.; AI-genererade texter; ChatGPT; Maskininlärning; Textegenskaper; Språkmodeller; Textanalys; AI-Detektion Verktyg;

    Abstract : Den här studien utforskar den textmässiga likheten mellan AI-genererade texter av ChatGPT och ursprungliga akademiska texter, jämför prestandan hos AI-detekteringsverktyg och maskininlärningsklassificerare, inklusive SVM, Logistic Regression och Random Forest, vid detektering av AI-genererat innehåll, och undersöker hur användarinstruktioner påverkar textkvaliteten. En rad mätvärden som stilometri, sentiment, textlikhet, läsbarhet och relevans användes för att analysera textegenskaper. READ MORE

  6. 5. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval

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

    Author : Christos Frantzolas; [2023]
    Keywords : Computer Vision; Natural Language Processing; Representation Learning; Metric Learning; Multimodal Retrieval; Bildigenkänning; Språkteknologi; Representationsinlärning; Metrisk inlärning; Multimodal informationssökning;

    Abstract : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. READ MORE