What are neural networks in text classification?

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 ... May 25, 2016 ... Title:Adversarial Training Methods for Semi-Supervised Text Classification ... Abstract:Adversarial training provides a means of regularizing ... Summary. Trains a single or multilabel text classification model to assign a predefined category or label to unstructured text. Learn more about how Text ... Text classification definition. Text classification is a type of machine learning that categorizes text documents or sentences into predefined classes or ... A text classifier is a machine learning model that's been trained to recognize patterns in natural language text, like the sentiment expressed by a sentence. In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. ... classification operation. Currently, the only available key is: task_description : A string containing a short explanation of the text classification task. 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 is a classic topic for natural language processing, in which one needs to assign predefined categories to free-text documents. The range ...