Essays about: "the classifications of thesis"

Showing result 1 - 5 of 125 essays containing the words the classifications of thesis.

  1. 1. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

    University essay from Lunds universitet/Graduate School

    Author : Luis Felipe Villota Macias; [2024]
    Keywords : Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

    Abstract : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. READ MORE

  3. 2. 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

  4. 3. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    University essay from Lunds universitet/Matematisk statistik

    Author : Alexander Gren; Klara Lundgren; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE

  5. 4. FN:s utredningsmekanismer, internationell människorätt och realpolitik: En dekonstruktion av utredningsmekanismernas politiska inflytanden, struktur och ursprung

    University essay from Lunds universitet/Mänskliga rättigheter

    Author : Alexander Pedersen; [2023]
    Keywords : IIIM; IIMM; UNITAD; international human rights law; UN; formalism; pragmatism; anti-formalism.; Law and Political Science;

    Abstract : Denna kandidatuppsats undersöker FN:s utredningsmekanismer som inrättades med avsikten att samla in, analysera, katalogisera och fördela bevismaterial till internationella samt nationella rättsväsenden. Uppsatsens övergripande frågeställning behandlar vad utredningsmekanismerna representerar i relation till den internationella människorättens begränsningar och möjligheter. READ MORE

  6. 5. Comparing dropout regularization algorithms for convolutional neural networks identifying malignant cells for diagnosis of leukemia

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Hampus Engström; Alexander Koutakis; [2023]
    Keywords : classification; Bernoulli; Gaussian; spatial; machine learning; cancer; myeloid; myeloproliferative neoplasms;

    Abstract : Fast and high quality classifications of cells inflicted with malignant mutations is essential for diagnosing patients with different forms of leukemia, to quickly be able give patients the crucial care they need. Convolutional neural networks (CNNs) can be trained and used for this purpose. READ MORE