Text Data Augmentation Techniques for Word Embeddings in Fake News Classification

Text Data Augmentation Techniques for Word Embeddings in Fake News Classification

Contemporary language models heavily rely on large corpora for their training. The larger the corpus, the better a model can capture various semantic relationships. The issue at hand appears to be the limited scope of the corpora used. One potential solution to this problem is the application of dat...

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Bibliographic Details
Main Authors: Jozef Kapusta, David Drzik, Kirsten Steflovic, Kitti Szabo Nagy
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Back translation
function word deletion
synonym replacement
text data augmentation
Word2Vec
word embeddings
Online Access:https://ieeexplore.ieee.org/document/10445169/

Internet

https://ieeexplore.ieee.org/document/10445169/

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