Essays about: "text-classification"

Showing result 6 - 10 of 128 essays containing the word text-classification.

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

   University essay from KTH/Matematik (Inst.)

   Author : Oscar Blommegård; [2023]
   Keywords : 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;

   Abstract : 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. READ MORE

3. 7. IMPROVING NONDISCRIMINATIVE CLASSIFIERS WITH THE HELP OF CLUSTERING : Enhancing Text Classification: Using Clustering For Improved Classifier Performance

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Martin Mickels; [2023]
   Keywords : classification; waste; Avfallsloggen; clustering; nondiscriminative;

   Abstract : A common classification task of today is classifying resources that consist of words. Nondiscriminative classifiers are a popular type of classifiers for such classification. This paper presents a study that determines whether a method of using clusters of words found in training data can be utilized for improved classifier performance. READ MORE

4. 8. Ensuring Brand Safety by Using Contextual Text Features: A Study of Text Classification with BERT

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Lingqing Song; [2023]
   Keywords : ;

   Abstract : When advertisements are placed on web pages, the context in which the advertisements are presented is important. For example, manufacturers of kitchen knives may not want their advertisement to appear in a news article about a knife-wielding murderer. READ MORE

5. 9. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Hengyu Luo; [2023]
   Keywords : prompt-learning; zero-shot; few-shot; text classification; domain-specific; retail sector domain; customer-agent interaction; transformer; large language models; ChatGPT; natural language processing; machine learning; deep learning;

   Abstract : 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

6. 10. 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)

   Author : Sinan Sakaoglu; [2023]
   Keywords : 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;

   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