Essays about: "Implicit Data"

Showing result 11 - 15 of 147 essays containing the words Implicit Data.

  1. 11. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

    Author : Thomas Bouquet; [2023]
    Keywords : Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

    Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE

  3. 12. IDENTITY & TECHNO-UTOPIANISM. A Critical Discourse Analysis of Marketing Material and their Sociotechnical Imaginaries.

    University essay from Göteborgs universitet/Institutionen för journalistik, medier och kommunikation

    Author : Albin Åberg; [2022-02-10]
    Keywords : Discourse Analysis; Sociotechnical Imaginaries; Marketing Technology; MarTech; Critical Studies; Identity; Techno- Utopianism;

    Abstract : This research paper sets out to investigate the messaging present in a corpus of texts gathered from Acxiom’s, an American data-analysis and ‘Identity Solutions’-company, website. The paper applies a framework of Critical Discourse Analysis informed by Theo van Leeuwen’s theory of ‘legitimations’ and analyses the findings through the theoretical framework of ‘Sociotechnical Imaginaries’. READ MORE

  4. 13. Solving Differential Equations using Data-Driven Adaptive Numerical Method

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : William Nguyen; Sirui Li; [2022]
    Keywords : ;

    Abstract : Accuracy and efficiency have always been of great concern when solving differential equations. One approach to improve accuracy is by introducing a neural network, whose role is to learn the local truncation error (LTE) of a numerical method. READ MORE

  5. 14. Top European electricity producers´eco-efficiency : And the role of policy instruments

    University essay from Umeå universitet/Nationalekonomi

    Author : Matilda Hahne; [2022]
    Keywords : ;

    Abstract : There is an implicit trade-off between environmental quality and the production of goods which can be analysed using an eco-efficiency approach. Within an eco-efficiency approach, Decision Making Units (e.g. READ MORE

  6. 15. Predicting future purchases with matrix factorization

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

    Author : Azer Hojlas; August Paulsrud; [2022]
    Keywords : Matrix factorisation; machine learning; recommendations systems; Maskininlärning; Matrisfaktorisering; Rekommendationssystem;

    Abstract : This thesis aims to establish the efficacy of using matrix factorization to predict future purchases. Matrix factorisation is a machine learning method, commonly used to implement the collaborative filtering recommendation system. READ MORE