Essays about: "Text classification"
Showing result 16 - 20 of 302 essays containing the words Text classification.
-
16. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. READ MORE
-
17. Developing an Advanced Method for Kinship from Ancient DNA Data
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : The analysis of kinship from ancient DNA (aDNA) data has the potential to provide insight into social structures of prehistoric societies. Kinship analysis is gaining popularity as optimised wet-lab methods allow for studies with sample sizes on the level of whole cemeteries. READ MORE
-
18. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : 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. READ MORE
-
19. Fake Mass-Produced Advertisements Detection on Global Online Adult Service Websites
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
20. KARTAL: Web Application Vulnerability Hunting Using Large Language Models : Novel method for detecting logical vulnerabilities in web applications with finetuned Large Language Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE