Results 61 to 70 of about 1,082 (177)

Sentiment Analysis Of Shopee Product Reviews Using Distilbert

CoRR
The rapid growth of digital commerce has led to the accumulation of a massive number of consumer reviews on online platforms. Shopee, as one of the largest e-commerce platforms in Southeast Asia, receives millions of product reviews every day containing valuable information regarding customer satisfaction and preferences.
Dautd, Zahri Aksa, Rahman, Aviv Yuniar
openaire   +2 more sources

Fractal Self-Similarity in Semantic Convergence: Gradient of Embedding Similarity across Transformer Layers

Fractal and Fractional
This paper presents a mathematical analysis of semantic convergence in transformer-based language models, drawing inspiration from the concept of fractal self-similarity.
Minhyeok Lee
doaj   +1 more source

From text to code – Leveraging machine learning for neurology outpatient clinical codingBox 1. Prompt engineering template used in calls to Mistral 7B. was replaced with each processed clinic letter body (the complete prompt is available in Appendix 4).Box 2. Example of hallucination using Mistral 7b model

Neuroscience Informatics
Background: Most neurological care is delivered in outpatient settings without mandated clinical coding. The clinical records remain stored as unstructured text with inconsistent formatting.
Elena Purcaru, Michael George, Matthew Stammers, Christopher Kipps   +3 more
doaj   +1 more source

Strategic Energy Project Investment Decisions Using RoBERTa: A Framework for Efficient Infrastructure Evaluation

Buildings
The task of identifying high-value projects from vast investment portfolios presents a major challenge in the construction industry, particularly within the energy sector, where decision-making carries high financial and operational stakes.
Recep Özkan, Fatemeh Mostofi, Fethi Kadıoğlu, Vedat Toğan, Onur Behzat Tokdemir   +4 more
doaj   +1 more source

Evaluation of GRU with Attention and DistilBERT in Text Classification Tasks

International Journal of Combinatorial Optimization Problems and Informatics
In this paper compares two deep learning models for multiclass text classification in the cyberbullying domain. The corpus is written in English and includes six classes representing different types of harassment. The trained models are a GRU network with an attention mechanism and the DistilBERT transformer.
Ana Laura Lezama Sánchez, Mireya Tovar Vidal   +1 more
openaire   +2 more sources

Enhancing Text Classification Through Grammar-Based Feature Engineering and Learning Models

Information
Text classification remains a challenging task in natural language processing (NLP) due to linguistic complexity and data imbalance. This study proposes a hybrid approach that integrates grammar-based feature engineering with deep learning and ...
Alaa Mohasseb, Andreas Kanavos, Eslam Amer   +2 more
doaj   +1 more source

Comparative analysis of transformer models for sentiment classification of UK CBDC discourse on X

Discover Analytics
Sentiment analysis is critical in understanding public perceptions of evolving currencies such as central bank digital currencies (CBDCs). This study compares three transformer-based models—DistilBERT, RoBERTa, and XLM-RoBERTa—for sentiment ...
Guneet Kaur, Saemundur Haraldsson, Andrea Bracciali   +2 more
doaj   +1 more source

Comparative Analysis of State-of-the-Art Q&A Models: BERT, RoBERTa, DistilBERT, and ALBERT on SQuAD v2 Dataset

Chaos and Fractals
In the rapidly evolving landscape of natural language processing (NLP) and artificial intelligence, recent years have witnessed significant advancements, particularly in text-based question-answering (QA) systems. The Stanford Question Answering Dataset
Cem Özkurt
doaj   +1 more source

Artificial Intelligence vs. Human: Decoding Text Authenticity with Transformers

Future Internet
This paper presents a comprehensive study on detecting AI-generated text using transformer models. Our research extends the existing RODICA dataset to create the Enhanced RODICA for Human-Authored and AI-Generated Text (ERH) dataset.
Daniela Gifu, Covaci Silviu-Vasile
doaj   +1 more source

Unpacking Sarcasm: A Contextual and Transformer-Based Approach for Improved Detection

Computers
Sarcasm detection is a crucial task in natural language processing (NLP), particularly in sentiment analysis and opinion mining, where sarcasm can distort sentiment interpretation.
Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro   +2 more
doaj   +1 more source