What are low-resource text classification? What are active learning for text classification?

Apr 3, 2020 ... By applying it to two fundamental natural language tasks, text classification and textual entailment, we successfully attacked three target ... Jun 1, 2022 ... In this example, we will demonstrate the ability of FNet to achieve comparable results with a vanilla Transformer model on 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. Summary. Trains a single or multilabel text classification model to assign a predefined category or label to unstructured text. Learn more about how Text ... 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 ... Sentiment analysis. Text classification allows organizations to manage their brand effectively on multiple channels by extracting specific words that indicate ... Named Entity Recognition (NER) and Text Classification are powerful natural language processing (NLP) techniques that have unlocked immense value in various ... 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 ... Feb 1, 2023 ... This work presents a "conversion + fine-tuning'' two-step method for training SNN for text classification and proposes a simple but effective way to encode pre ... 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 ...