Essays about: "Personal Data classification"

Showing result 1 - 5 of 34 essays containing the words Personal Data classification.

  1. 1. Erratic Patterns : Unravelling the Cultural Transfers of Library Classifiers

    University essay from Uppsala universitet/Institutionen för ABM

    Author : Keeley Lindkvist; [2023]
    Keywords : Library classifier; library classification; classification; cultural transfer; classification and culture; Library of Congress Classifi-cation Scheme LCC ; knowledge organisation; knowledge organization; The Swedish Institute in Rome ISVRoma ; Biblioteksklassificerare; biblioteksklassificering; kulturell överföring; klassificering och kultur; Library of Congress klassificeringsschema LCC ; kunskapsorganisation; Svenska institutet i Rom ISVRoma ;

    Abstract : This thesis investigates the oft-overlooked influence of the classifier's input during the assignment of library classifications and draws upon cultural transfer theory to shed light on the underlying principles that guide the process. Classifiers' personal knowledge, experience, and beliefs, have a critical role in determining the 'aboutness' of a work and its subsequent classification. READ MORE

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

    University essay from KTH/Matematisk statistik

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

    Abstract : 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. READ MORE

  3. 3. Classifying personal data on contextual information

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

    Author : Carl Dath; [2023]
    Keywords : Natural Language Processing; Machine Learning; Word2Vec; GloVe; BERT; Personal Data classification; Språkteknologi; Maskininlärning; Personlig Data Klassificering;

    Abstract : In this thesis, a novel approach to classifying personal data is tested. Previous personal data classification models read the personal data before classifying it. However, this thesis instead investigates an approach to classify personal data by looking at contextual information frequently available in data sets. READ MORE

  4. 4. Prosody and emotion: Towards the development of an emotional agent Emotional evaluation of news reports: production and perception experiments

    University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Author : Liina Tumma; [2022-01-20]
    Keywords : emotion; speech; prosody;

    Abstract : There is a recognised need for more research on the topic of emotion recognition from speech, and clear and defined methodology in this area is still lacking. Most studies in the field of emotional speech recognition and classification usually focus on acted speech as the data source; consequently, other methods that capture more natural speech are left aside. READ MORE

  5. 5. Federated Learning for Natural Language Processing using Transformers

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

    Author : Gustav Kjellberg; [2022]
    Keywords : Machine Learning; Federated Learning; Distributed Machine Learning; Natural Language Processing; BERT; ALBERT; Transformers; Data Privacy.; Maskininlärning; Federerad inlärning; Distribuerad Maskininlärning; Språkteknologi; BERT; ALBERT; Transformers; Dataintegritet.;

    Abstract : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. READ MORE