Sökning: "textklassificering"

Visar resultat 1 - 5 av 44 uppsatser innehållade ordet textklassificering.

1. 1. Active learning for text classification in cyber security

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

   Författare :Amanda Carp; [2023]
   Nyckelord :Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

   Sammanfattning : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. LÄS MER

3. 2. The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM

   Master-uppsats, KTH/Matematik (Inst.)

   Författare :Oscar Blommegård; [2023]
   Nyckelord :The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM; Hämtningsförstärkta språkmodeller; Natural Language Processing; Transformers; Djupinlärning; Textklassificering;

   Sammanfattning : Large Language Models (LLMs) have demonstrated impressive results across various language technology tasks. By training on large corpora of diverse text collections from the internet, these models learn to process text effectively, allowing them to acquire comprehensive world knowledge. LÄS MER

4. 3. 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. 4. 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. 5. Automatic Analysis of Peer Feedback using Machine Learning and Explainable Artificial Intelligence

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

   Författare :Kevin Huang; [2023]
   Nyckelord :Text classification; Peer feedback; Explainable Artificial Intelligence; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM education; Textklassificering; Feedback till kamrater; Förklarig Artificiell Intelligens; BERT; RoBERTa; DistilBERT; Decision Tree; MLP; CSCL; STEM-utbildning;

   Sammanfattning : Peer assessment is a process where learners evaluate and provide feedback on one another’s performance, which is critical to the student learning process. Earlier research has shown that it can improve student learning outcomes in various settings, including the setting of engineering education, in which collaborative teaching and learning activities are common. LÄS MER