What are the ethical considerations in text classification? What are the potential biases in text classification models?

Text Classification Tool Icon Text Classification. The Text Classification tool trains and outputs a text classification model based on your training data. This example shows how to incrementally train a model to classify documents based on word frequencies in the documents; a bag-of-words model. In this article, I will explain about the text classification and the step by step process to implement it in python. Aug 1, 2021 ... The general format of natural language inference (NLI) makes it tempting to be used for zero-shot text classification by casting any target ... Oct 28, 2013 ... Text categorization ... Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It ... Abstract. This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed ... 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 ... Evaluate with Argilla¶. Now, we can start the annotation process. Just open the dataset in the Argilla UI and start annotating the records. If the suggestions ... May 25, 2016 ... Title:Adversarial Training Methods for Semi-Supervised Text Classification ... Abstract:Adversarial training provides a means of regularizing ... Mar 24, 2025 ... In this article ... Custom text classification is one of the custom features offered by Azure AI Language. It is a cloud-based API service that ...