Continual learning for text classification Explainable and trustworthy AI for text classification

Feb 11, 2018 ... I'm able to do text classification and NER using Prodigy, but can I combine the two into a single model which I can load into spacy? Does that make sense? 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 ... Our experiments have shown that both approaches can interact with LLMs successfully to classify text—if certain criteria are met ... Text classification is a classic topic for natural language processing, in which one needs to assign predefined categories to free-text documents. The range ... In this paper, we bridge this striking gap by presenting TextShield, a new adversarial defense framework specifically designed for Chinese-based DLTC models. default=None, metadata={"help": "The name of the dataset to use (via the datasets library)."} ) dataset_config_name ... Use the text classification models to classify a set of words from a resource based on three text classification algorithms: Bag-of-Words, N-Gram, and Text ... Oct 28, 2024 ... A comprehensive guide to implementing machine learning NLP text classification algorithms and models on real-world datasets. Text classification models learn to assign one or more labels to text. You can use text classification over short pieces of text like sentences or headlines. The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories.