Results 101 to 110 of about 5,471 (199)

An LLM driven framework for email spam detection using DistilBERT embeddings and neural classifiers

open access: yesDiscover Applied Sciences
Email spam detection is still a critical challenge in cybersecurity due to the increasing sophistication of malicious campaigns. Effective filtering is essential to protect users from phishing, fraud, and privacy violations.
G. Pradeep Reddy   +4 more
doaj   +1 more source

INTENT RECOGNITION USING DISTILBERT AND LANGUAGE MODELS

open access: yes
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
openaire   +2 more sources

Fine-tuning DistilBERT for new classification

open access: yes
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
openaire   +1 more source

Online News Sentiment Classification Using DistilBERT

open access: yesJournal of Quantum Computing, 2022
Samuel Kofi Akpatsa   +6 more
openaire   +1 more source

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