Sökning: "Text classification"

Visar resultat 21 - 25 av 362 uppsatser innehållade orden Text classification.

  1. 21. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Dani Kebede; Naod Tesfai; [2023]
    Nyckelord :Sentiment analysis; Artificial intelligence; NLP; RoBERTa;

    Sammanfattning : 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. LÄS MER

  3. 22. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites

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

    Författare :Ernest Pokropek; [2023]
    Nyckelord :Machine learning; Spam detection; Mass-produced spam; Global adult online services; Maskininlärning; Detektering av Spam; Massproducerad Spam; Globala Webbplatser som Erbjuder Eskorttjänster;

    Sammanfattning : A significant amount of sex trafficking victims are being advertised on online adult services, which are currently being flooded with spam. Investigators rely on online adult services to track cases of sex trafficking; however, the ever-increasing volume of spam poses a mounting challenge, making their task progressively more difficult. LÄS MER

  4. 23. KARTAL: Web Application Vulnerability Hunting Using Large Language Models : Novel method for detecting logical vulnerabilities in web applications with finetuned Large Language Models

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

    Författare :Sinan Sakaoglu; [2023]
    Nyckelord :Broken Access Control; Vulnerability; Large Language Models; Web Application; API; Detection; Scanner; DAST; Application Security; Brutet åtkomstkontroll; Sårbarhet; Stora språkmodeller; Webbapplikation; API; Upptäckt; Skanner; DAST; Applikationssäkerhet;

    Sammanfattning : Broken Access Control is the most serious web application security risk as published by Open Worldwide Application Security Project (OWASP). This category has highly complex vulnerabilities such as Broken Object Level Authorization (BOLA) and Exposure of Sensitive Information. LÄS MER

  5. 24. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

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

    Författare :Luciano Zapata; [2023]
    Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

    Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

  7. 25. Monolingual and Cross-Lingual Survey Response Annotation

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yahui Zhao; [2023]
    Nyckelord :transfer learning; zero-shot cross-lingual transfer; model-based transfer; multilingual pre-trained language models; sequence labeling; open-ended questions; democracy;

    Sammanfattning : Multilingual natural language processing (NLP) is increasingly recognized for its potential in processing diverse text-type data, including those from social media, reviews, and technical reports. Multilingual language models like mBERT and XLM-RoBERTa (XLM-R) play a pivotal role in multilingual NLP. LÄS MER