Results 71 to 80 of about 1,082 (177)
DistilBERT-Based Hybrid Architecture for Phishing URL Detection
IEEE AccessPhishing continues to be a major and rapidly evolving challenge in cybersecurity. By disguising malicious links as legitimate ones, attackers trick users into revealing sensitive information such as login credentials and financial details.
Ulku Ozmen, Esra Odabas Yildirim
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Distilbert-gnn: a Powerful Approach to Social Media Event Detection
International Journal of Data Science and AnalyticsAbstract Finding events actively discussed locally or globally is a significant problem when mining social media data streams. Identifying such events can serve as an early warning system in an event such as an accident, a protest, an election, or other breaking news.
Asres Temam Abagissa +2 more
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Contextual Semantic Classification of Trafficking-Related Advertisements Using DistilBERT
InformationDetecting trafficking-related indicators in online advertisements remains a challenging natural language processing task due to ambiguous language, repetitive templates, and evolving euphemistic expressions.
Bakhita Salman +2 more
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A DistilBERT-based hierarchical text classification for traffic analysis
International Journal of Cognitive Computing in EngineeringHierarchical multilabel text classification (HMTC) is constrained by the relationships between labels, often represented by nontrivial data structures such as directed acyclic graphs (DAGs).
Quang Tran Minh, Do Thanh Thai
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Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT
CoRRThis study evaluates fine-tuning strategies for text classification using the DistilBERT model, specifically the distilbert-base-uncased-finetuned-sst-2-english variant. Through structured experiments, we examine the influence of hyperparameters such as learning rate, batch size, and epochs on accuracy, F1-score, and loss.
Giuliano Lorenzoni +3 more
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IEEE AccessPhishing detection systems continue to struggle with real-time responsiveness in distributed web environments. This paper proposes a cloud–edge coordination framework that integrates browser-side Uniform Resource Locator (URL) interception ...
Minh Linh Dam +4 more
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Vietnam Journal of Computer ScienceThis study presents a comparative analysis of transformer models for text classification, utilizing a hybrid approach that integrates rule-based regular expressions with fine-tuned neural network models.
Arafet Sbei +2 more
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Fine-Tuning distilBERT for Enhanced Sentiment Classification
Journal of Big Data and ComputingThis research examines the fine-tuning of the DistilBERT model for sentiment classification using the IMDB dataset of 50,000 movie reviews. Sentiment analysis is vital in natural language processing (NLP), providing insights into emotions and opinions within textual data.
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INTENT RECOGNITION USING DISTILBERT AND LANGUAGE MODELS
Intent classification in Natural Language Processing involves identifying the intention of the user based on their input/interaction with an interface. This can be in a natural usage setting (voice assistants) or an interaction between users, customer service personnel, or agents (in a large organization). This paper aims to study the problem of intent
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Fine-tuning DistilBERT for new classification
This thesis presents a study on the development and optimization of a natural language processing (NLP) model for the automatic classification of news according to their thematic categories (politics, sports, entertainment, etc.). The work focuses on the application and evaluation of machine learning techniques based on artificial neural networks, with
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