Text augmentation using a graph-based approach and clonal selection algorithm-Reference-Cited by-同舟云学术

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Text augmentation using a graph-based approach and clonal selection algorithm

Published:2023-03 Issue: Volume:11 Page:100452
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Ahmed Hadeer^ORCID,Traore Issa,Mamun Mohammad,Saad Sherif

Publisher

Elsevier BV

Subject

General Medicine

Reference49 articles.

1. Detection of online fake news using N-gram analysis and machine learning techniques;Ahmed;Lecture Notes in Computer Science,2017

2. Not enough data? Deep learning to the rescue!;Anaby-Tavor,2019

3. Big data and quality data for fake news and misinformation detection;Asr;Big Data & Society,2019

4. Text augmentation using BERT for image captioning;Atliha;Applied Sciences,2020

5. Abstract meaning representation for sembanking;Banarescu,2013

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation;Expert Systems with Applications;2023-12

2. TAWC: Text Augmentation with Word Contributions for Imbalance Aspect-based Sentiment Classification;2023-10-23

3. Crossing language identification: Multilingual ASR framework based on semantic dataset creation & Wav2Vec 2.0;Machine Learning with Applications;2023-09

4. Machine Learning and Social Media Harvesting for Wildfire Prevention;2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS);2023-07-04

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