Results 31 to 40 of about 5,471 (199)
BackgroundWhile message-based therapy has been shown to be effective in treating a range of mood disorders, it is critical to ensure that providers are meeting a consistently high standard of care over this medium.
James M. Zech +5 more
doaj +1 more source
Few-Shot Learning for Classifying Genuine and Bot Comments on YouTube Using Transformer Models
This study aims to develop a comment classification system on the YouTube platform to distinguish between real accounts and bot accounts, addressing the challenge of limited labeled data through a few-shot learning approach.
Nahdah Fikriah Nst +2 more
doaj +1 more source
DistilBERT-based Argumentation Retrieval for Answering Comparative Questions. [PDF]
In the current world, individuals are faced with decision making problems and opinion formation processes on a daily basis. For example, debating or choosing between two similar products. However, answering a comparative question by retrieving documents based only on traditional measures (such as TF-IDF and BM25) does not always satisfy the need. Thus,
Alhamzeh, Alaa +3 more
openaire +2 more sources
The rapid proliferation of digital news sources today necessitates the effective analysis and classification of large-scale textual data. In this study, BERT (Bidirectional Encoder Representations from Transformers) and its derivatives — DistilBERT ...
Ahmet Albayrak +2 more
doaj +1 more source
Sentiment Analysis on Short Social Media Texts Using DistilBERT [PDF]
Sentiment analysis on short texts from social media, such as tweets, presents unique challenges due to their brevity and informal language. This study explores the effectiveness of transformer-based models, particularly DistilBERT, in performing ...
Asyaky, Muhammad Sidik +2 more
core +2 more sources
Natural language content evaluation system for multiclass detection of hate speech in tweets using transformers [PDF]
In natural language processing, accurate categorization of tweets, including detecting hate speech, plays a pivotal role in efficient information organization and analysis.
Marrugo-Tobón, Duván Andres +2 more
core
Comparison of Online Gambling Promotion Detection Performance Using DistilBERT and DeBERTa Models
Online gambling promotions on social media have become a serious concern in Indonesia, where perpetrators use ambiguous and disguised language to evade detection. This study compares two transformer-based models, DistilBERT and DeBERTa, in detecting such
Halim Meliana Pratama +2 more
doaj +1 more source
AI application can be very helpful in addressing different issues and shaping novel techniques in food production, food safety and quality, and food intake. AI application in food science, such as the food industry and processing, food safety and packaging, and nutrition.
Yaseen Galali +7 more
wiley +1 more source
Recommender Systems: Taxonomy, Applications and Current Research Trends
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado +2 more
wiley +1 more source
Cancer classification through genetic evaluation has become a hot topic among researchers. It holds the promise of delivering systematic, precise, and scientifically backed diagnoses for different types of cancer. Lately, several studies have delved into
Mariwan Mahmood Hama Aziz +1 more
doaj +1 more source

