Fake news detection in Dravidian languages using transfer learning with adaptive finetuning-Reference-Cited by-同舟云学术

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Fake news detection in Dravidian languages using transfer learning with adaptive finetuning

Published:2023-11 Issue: Volume:126 Page:106877
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Raja Eduri^ORCID,Soni Badal^ORCID,Borgohain Samir Kumar^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference55 articles.

1. On difficulties of cross-lingual transfer with order differences: A case study on dependency parsing;Ahmad,2019

2. Detecting opinion spams and fake news using text classification;Ahmed;Secur. Priv.,2018

3. Smart farming using artificial intelligence: A review;Akkem;Eng. Appl. Artif. Intell.,2023

4. UrduFake@FIRE2020: Shared track on fake news identification in Urdu;Amjad,2021

5. Improving sentiment analysis over non-english tweets using multilingual transformers and automatic translation for data-augmentation;Barriere,2020

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1. Harnessing heterogeneity: A multi-embedding ensemble approach for detecting fake news in Dravidian languages;Computers and Electrical Engineering;2024-12

2. Novel approaches for fake news detection based on attention-based deep multiple-instance learning using contextualized neural language models;Neurocomputing;2024-10

3. Fake news detection in Dravidian languages using multiscale residual CNN_BiLSTM hybrid model;Expert Systems with Applications;2024-09

4. AraCovTexFinder: Leveraging the transformer-based language model for Arabic COVID-19 text identification;Engineering Applications of Artificial Intelligence;2024-07

5. Enhancing Cross-Lingual Sarcasm Detection by a Prompt Learning Framework with Data Augmentation and Contrastive Learning;Electronics;2024-06-01

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