What are some current research trends in text classification?

Feb 28, 2024 ... Text Classification. Text classification analyses the text and identifies categories for the content with a confidence score. Text ... Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015. Deep Unordered Composition Rivals Syntactic Methods for Text Classification. In ... Text Classification, also known as text categorization or text tagging, is a technique used in machine learning and artificial intelligence to automatically ... Jul 18, 2022 ... Text classification algorithms are at the heart of a variety of software systems that process text data at scale. Email software uses text ... Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... 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 ... Jun 8, 2021 ... A compression algorithm has some knowledge of the distribution of words in a corpus. It can thus be used to classify documents. 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. Jul 17, 2019 ... In this work, we propose to use graph convolutional networks for text classification. We build a single text graph for a corpus based on word co ...