How do GRUs compare to LSTMs? What are transformers in text classification?

Sep 27, 2018 ... In this paper, we study counterfactual fairness in text classification, which asks the question: How would the prediction change if the sensitive attribute ... 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. Apr 4, 2019 ... In this study, we propose a new approach which combines rule-based features and knowledge-guided deep learning models for effective disease classification. 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 ... Jul 21, 2024 ... This tutorial on Fine tuning LLama 3 LLM for Text Classification of Stock Sentiment using QLoRA was particularly useful. 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. Oct 28, 2013 ... Text categorization ... Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It ... pdf - A report containing summary information of this run. The first section includes all the parameters that were specified by the user. The second section ... The AutoKeras TextClassifier is quite flexible for the data format. For the text, the input data should be one-dimensional. Input representation for text classifications request submission.