Data Mining
Hybrid Fine-Tuning of Large Language Models Using LoRA: Enhancing Multi-Task Text Classification Through Knowledge Sharing

A. Beiranvand; M. Sarhadi; J. Salimi Sartakhti

Volume 13, Issue 2 , July 2025, , Pages 417-430

https://doi.org/10.22061/jecei.2025.11314.794

Abstract
  Background and Objectives: Large Language Models have demonstrated ‎exceptional performance across various NLP tasks, especially when fine-tuned for ‎specific applications.‎‏ ‏Full fine-tuning of large language models requires extensive ‎computational resources, which are often ...  Read More

Data Mining
NSE-PSO: Toward an Effective Model Using Optimization Algorithm and Sampling Methods for Text Classification

R. Asgarnezhad; A. Monadjemi; M. SoltanAghaei

Volume 8, Issue 2 , July 2020, , Pages 183-192

https://doi.org/10.22061/jecei.2020.7295.379

Abstract
  Background and Objectives: With the extensive web applications, review sentiment classification has attracted increasing interest among text mining works. Traditional approaches did not indicate multiple relationships connecting words while emphasizing the preprocessing phase and data reduction techniques, ...  Read More

Data Mining
A High-Performance Model based on Ensembles for Twitter Sentiment Classification

R. Asgarnezhad; A. Monadjemi; M. SoltanAghaei

Volume 8, Issue 1 , January 2020, , Pages 41-52

https://doi.org/10.22061/jecei.2020.7100.357

Abstract
  Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are ...  Read More