- ParsiAzma Challenges on Persian Text Analysis in Social Media
Mojgan Farhoodi, Maryam Mahmoudi, Mohammad Hadi Bokaei - A Comparative Study of BERT-X for Sentiment Analysis and Stance Detection in Persian Social Media
Mohamad Sobhi, Alireza Mazochi, Hossein Zeinali - An Improvement in Transformer-Based Sentiment Analysis in Persian Twitter
Hadi Heydari, Ali Yazdani, Mojgan Farhoodi - Claim Detection in Persian Twitter Posts
Mohammad Hadi Bokaei, Minoo Nassajian, Mojgan Farhoodi, Mona Davoudi Shamsi - EmoRecBiGRU: Emotion Recognition in Persian Tweets with a Transformer-based Model, Enhanced by Bidirectional GRU
Faezeh Sarlakifar, Morteza Mahdavi Mortazavi, Mehrnoush Shamsfard - A Deep Learning Approach for Sarcasm Detection on Twitter
Mohammad Javad Shayegan, Sara Kojouri - Investigating Sentiment Analysis of News in Stock Market Prediction Utilizing Machine Learning Technique
Golshid Ranjbaran, Mohammad-Shahram Moin, Sasan H Alizadeh, Abbas Koochari
- Year 2024
- Year 2024
- Year 2023
- Year 2022
- Year 2021
- Year 2020
2010/07/1 - New Journal website launched
Accepted Articles
Mohsen Yaghubi-Namaad, Akbar Ghaffarpour Rahbar, Behrooz Alizadeh
Habibollah Asghari
Alireza Mansouri, Maryam Mahmoudi, Mojgan Farhoodi, Seyed Mohammadreza Mirsarraf
Babak NarimanJahan, Ahmad Khademzadeh, Akram Reza
Journal Information
- Current Issue: 2024، Volume 16، Number 3
- Print ISSN: 2251-6107
- Online ISSN: 2783-4425
- Director-in-Charge: Dr. Seyed Mohammad Razavizadeh
- Editor-in-Chief: Prof. Kambiz Badie
- Publisher: ICT Research Institute(ITRC)
Indexing Databases
Newsletter subscription
Enter your email address to have site news and announcements delivered directly to your inbox.
Site Statistics
- Registered users: 2684 users
- Online users: 0 users
- Guest users: 126 users
- All visits: 5048576 visits
- Visits in 24 Hours: 5492 visits
- Total articles: 678 articles
- Published articles: 436 articles
Copyright Policy
International Journal of Information and Communication Technology Research (IJICTR) is a fully open-access journal, which means that all articles are available on the Web to all users immediately upon publication. All content of the Journal is published with open access under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).