Sökning: "customer s Classification"

Visar resultat 1 - 5 av 72 uppsatser innehållade orden customer s Classification.

  1. 1. Effectivisation of keywords extraction process : A supervised binary classification approach of scraped words from company websites

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Josef Andersson; Max Fremling; [2023]
    Nyckelord :Machine learning; keyword classification; unbalanced data; word embedding;

    Sammanfattning : In today’s digital era, establishing an online presence and maintaining a well-structured website is vitalfor companies to remain competitive in their respective markets. A crucial aspect of online success liesin strategically selecting the right words to optimize customer engagement and search engine visibility. LÄS MER

  3. 2. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Stina Backerholm; Malin Börjesjö; [2023]
    Nyckelord :Multi-Class Classification; Imbalanced Data; Machine Learning; Multi-Klass Klassifisering; Obalanserat Data; Maskininlärning;

    Sammanfattning : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. LÄS MER

  4. 3. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Dani Kebede; Naod Tesfai; [2023]
    Nyckelord :Sentiment analysis; Artificial intelligence; NLP; RoBERTa;

    Sammanfattning : In today’s digital era, text data plays a ubiquitous role across various domains. This bachelor thesis focuses on the field of sentiment analysis, specifically addressing the task of classifying text into positive, negative, or neutral sentiments with the help of an AI tool. LÄS MER

  5. 4. Predicting Short-term Absences of a Railway Crew using Historical Data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Agnes Björnfot; Sandra Fjelkestam; [2023]
    Nyckelord :statistics; machine learning; absence prediction; random forest; XGBoost; quantile regression; statistik; maskininlärning; frånvaroprognoser; random forest; XGBoost; kvantilregression;

    Sammanfattning : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. LÄS MER

  7. 5. Inventory management: A high-level analysis of selected process elements, and factors impacting plan performance - A case study at Alfa Laval

    Master-uppsats, Lunds universitet/Teknisk logistik

    Författare :Danielle Schiro; Lucas Librelotto Rubin; [2023]
    Nyckelord :Inventory Management; Make-to-Order; Forecasting; Collaboration; Strategic Alignment; KPIs; Organizational Structures; Alfa Laval; Technology and Engineering;

    Sammanfattning : Purpose: The purpose of this thesis is to increase the effectiveness of the case company, Alfa Laval’s, inventory management by finding challenges, opportunities, and gaps within its current inventory management practices. Background: An essential part of an organization’s planning and control is inventory management, which helps manage supply and demand uncertainty as well as mismatches in upstream and downstream variables, as small changes in inventory management practices can greatly impact an organization's efficiency and responsiveness. LÄS MER