Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review

[PDF] arxiv.org

Methods for Generating Drift in Text Streams

CM Garcia, AL Koerich, AS Britto Jr… - arXiv preprint arXiv …, 2024 - arxiv.org
Systems and individuals produce data continuously. On the Internet, people share their
knowledge, sentiments, and opinions, provide reviews about services and products, and so …
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[PDF] arxiv.org

Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams

CM Garcia, AL Koerich, AS Britto Jr… - arXiv preprint arXiv …, 2024 - arxiv.org
The proliferation of textual data on the Internet presents a unique opportunity for institutions
and companies to monitor public opinion about their services and products. Given the rapid …
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[PDF] arxiv.org

Tackling Concept Shift in Text Classification using Entailment-style modeling

S Roychowdhury, K Gupta, SR Kasa, PS Murthy… - arXiv preprint arXiv …, 2023 - arxiv.org
Pre-trained language models (PLMs) have seen tremendous success in text classification
(TC) problems in the context of Natural Language Processing (NLP). In many real-world text …
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