Sökning: "natural language processing"

Visar resultat 11 - 15 av 584 uppsatser innehållade orden natural language processing.

  1. 11. IDENTIFYING HATE SPEECH IN SOCIAL MEDIA THROUGH CONTENT AND SOCIAL CONNECTIONS ANALYSIS

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Milan Stanišić; [2023-06-19]
    Nyckelord :hate speech; social media; natural language processing; classification;

    Sammanfattning : Hate speech is a problem which puts its targets at risk of serious harm. It spreads fast and has a real influence on the society because of the ubiquity of the internet and social media, and so various research efforts have been put to find solutions to automatic hate speech detection. LÄS MER

  3. 12. IŻ SWÓJ JĘZYK MAJĄ! An exploration of the computational methods for identifying language variation in Polish

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Maria Irena Szawerna; [2023-06-19]
    Nyckelord :language variation; Polish; diachronic linguistics; part-of-speech tagging; lemmatization; corpus linguistics;

    Sammanfattning : Computational approaches to language variation continue to contribute in a relevant way to various fields, including Natural Language Processing (NLP) and linguistics. Being able to accommodate variation within natural language increases the robustness of NLP models and their usefulness in real-life applications; simultaneously, detecting and describing variation and trends that govern it is one of the main goals of sociolinguistics and historical linguistics, meaning that some of the advances in NLP can contribute to these fields as well. LÄS MER

  4. 13. Detecting inconsistencies of safety artifacts with Natural Language Processing Bachelor of Science Thesis

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Xuni Huang; [2023-01-09]
    Nyckelord :Inconsistencies; Safety-critical systems; Natural language processing; Classification;

    Sammanfattning : This paper investigates a method that helps detect inconsistencies between safety-critical systems’ textual safety artifacts that safety cases rely on by involving NLP techniques. A design science research study was conducted in three iterations. I evaluate the method by conducting different experiments. LÄS MER

  5. 14. Nested Noun Phrase Detection in English Text with BERT

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shweta Misra; [2023]
    Nyckelord :Phrase detection; nested noun phrase identification; phrase structure identification; sentence parsing; transformer models; machine learning; natural language processing; Frasdetektering; kapslad substantivfrasidentifiering; frasstrukturidentifiering; meningsanalys; transformers-modeller; maskininlärning; naturlig språkbehandling;

    Sammanfattning : In this project, we address the task of nested noun phrase identification in English sentences, where a phrase is defined as a group of words functioning as one unit in a sentence. Prior research has extensively explored the identification of various phrases for language understanding and text generation tasks. LÄS MER

  7. 15. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Li Ang Hu; Long Ma; [2023]
    Nyckelord :Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

    Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER