What are the key steps involved in text classification?

In this module, we will learn about the different types of machine learning that exist and the operational steps of building a supervised machine learning ... 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 ... default=None, metadata={"help": "The name of the dataset to use (via the datasets library)."} ) dataset_config_name ... SST-2 Binary text classification with XLM-RoBERTa model. Author: Parmeet Bhatia. Overview. This tutorial demonstrates how to train a text classifier on ... Nov 16, 2023 ... Looking for a very small text classification transformer [R]. Research. I'm looking for suggestions for a transformer model that I can fine-tune ... Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... 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. Text classification also known as text tagging or text categorization is the process of assigning tags/labels to unstructured text. Using Natural Language ... We introduce an algorithm for learning from labeled and unlabeled documents based on the combination of Expectation-Maximization (EM) and a naive Bayes ... May 4, 2020 ... Text Classifier Predictor — NodePit. Predictor for a dictionary-based text classifier for categorizing text documents. We (and our customers) ...