What is accuracy in text classification? What is precision in text classification?

This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text ... Measuring and Mitigating Unintended Bias in Text Classification · Abstract · Research Areas. Natural Language Processing · Responsible AI. Meet the teams ... Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... Oct 28, 2024 ... A comprehensive guide to implementing machine learning NLP text classification algorithms and models on real-world datasets. In this paper, we bridge this striking gap by presenting TextShield, a new adversarial defense framework specifically designed for Chinese-based DLTC models. Summary. Trains a single or multilabel text classification model to assign a predefined category or label to unstructured text. Learn more about how Text ... This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets. In this paper, a brief overview of text classification algorithms is discussed. This overview covers different text feature extractions, dimensionality ... Jun 1, 2022 ... In this example, we will demonstrate the ability of FNet to achieve comparable results with a vanilla Transformer model on the text classification task. Apr 17, 2021 ... Abstract. Deep learning--based models have surpassed classical machine learning--based approaches in various text classification tasks, ...