What is model training in a text classification pipeline?

Text Classification, also known as text categorization or text tagging, is a technique used in machine learning and artificial intelligence to automatically ... Jun 9, 2020 ... We provide a guide to help researchers navigate the consequential decisions they need to make before any measure can be produced from the text. May 25, 2016 ... Title:Adversarial Training Methods for Semi-Supervised Text Classification ... Abstract:Adversarial training provides a means of regularizing ... Jun 27, 2022 ... What is Text Classification? Text Classification is the process of categorizing text into one or more different classes to organize, structure, ... Mar 29, 2025 ... We explore the application of LLMs to supervised text classification. As a case study, we consider stance detection and examine variation in predictive ... Oct 28, 2013 ... Text categorization ... Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It ... Sep 27, 2018 ... In this paper, we study counterfactual fairness in text classification, which asks the question: How would the prediction change if the sensitive attribute ... In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Apr 24, 2025 ... Let's try to demonstrate this by providing an example of text classification. Prompt: Classify the text into neutral, negative or positive. Text ... ... Text Line Database · Cover of Improving Text Classification with Boolean Retrieval for Rare Categories: A Case Study Identifying. Improving Text Classification ...