What are the applications of text classification?

Oct 28, 2024 ... A comprehensive guide to implementing machine learning NLP text classification algorithms and models on real-world datasets. In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Text classification is a classic topic for natural language processing, in which one needs to assign predefined categories to free-text documents. The range ... default=None, metadata={"help": "The name of the dataset to use (via the datasets library)."} ) dataset_config_name ... Jun 5, 2023 ... In this blog post, we'll present seven powerful text classification techniques to fit all these situations. ... classification operation. Currently, the only available key is: task_description : A string containing a short explanation of the text classification task. Mar 18, 2025 ... Text classification is an AI technique that allows you to use an algorithm to sort text data into categories. This technology is an important ... Summary. Trains a single or multilabel text classification model to assign a predefined category or label to unstructured text. Learn more about how Text ... This paper compares the performance of ten such approaches (five lexicon-based, five machine learning algorithms) across 41 social media datasets. We introduce an algorithm for learning from labeled and unlabeled documents based on the combination of Expectation-Maximization (EM) and a naive Bayes ...