Search Results for author: Cristiano Mesquita Garcia

Found 3 papers, 0 papers with code

Methods for Generating Drift in Text Streams

no code implementations18 Mar 2024 Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr, Jean Paul Barddal

To learn from textual data over time, the machine learning system must account for concept drift.

Improving Sampling Methods for Fine-tuning SentenceBERT in Text Streams

no code implementations18 Mar 2024 Cristiano Mesquita Garcia, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr, Jean Paul Barddal

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.

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

no code implementations5 Dec 2023 Cristiano Mesquita Garcia, Ramon Simoes Abilio, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal

Due to the advent and increase in the popularity of the Internet, people have been producing and disseminating textual data in several ways, such as reviews, social media posts, and news articles.

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