Essays about: "customer classifying"

Showing result 1 - 5 of 30 essays containing the words customer classifying.

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

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

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

    Abstract : 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. READ MORE

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

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Dani Kebede; Naod Tesfai; [2023]
    Keywords : Sentiment analysis; Artificial intelligence; NLP; RoBERTa;

    Abstract : 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. READ MORE

  5. 4. Machine learning for detecting financial crime from transactional behaviour

    University essay from Uppsala universitet/Signaler och system

    Author : Markus Englund; [2023]
    Keywords : machine learning; deep learning; financial crime; time series; time series classification; XGBoost; maskininlärning; djupinlärning; finansiell brottslighet; tidsserier; klassificering av tidsserier; XGBoost;

    Abstract : Banks and other financial institutions are to a certain extent obligated to ensure that their services are not utilized for any type of financial crime. This thesis investigates the possibility of analyzing bank customers' transactional behaviour with machine learning to detect if they are involved in financial crime. READ MORE

  6. 5. After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening

    University essay from Lunds universitet/Produktionsekonomi

    Author : Artur Jusopov; Arian Marofkhani; [2022]
    Keywords : Forecasting; Intermittent Demand; Spare Parts; After-Market; Crostons; Exponential Smoothing; Hierarchical Forecasting; Technology and Engineering;

    Abstract : Title: After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening. Authors: Arian Marofkhani and Artur Jusopov Supervisors: Professor Gudrun Kiesmüller, Lund University, Faculty of Engineering, Division of Production Management. Macarena Ribalta, Planning & Logistics Manager, Sandvik Stationary Crushing & Screening. READ MORE