Fairness and ethical considerations in text classification What are the prerequisites for learning text classification?

Jun 21, 2024 ... In this article, we will use scikit-learn, a Python machine learning toolkit, to create a simple text categorization pipeline. 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. Text Classification, also known as text categorization or text tagging, is a technique used in machine learning and artificial intelligence to automatically ... Apr 17, 2021 ... Abstract. Deep learning--based models have surpassed classical machine learning--based approaches in various text classification tasks, ... Feb 20, 2024 ... Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning ... 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. 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 ... Mar 29, 2024 ... Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages Oct 28, 2013 ... Text categorization ... Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It ... May 4, 2020 ... Text Classifier Predictor — NodePit. Predictor for a dictionary-based text classifier for categorizing text documents. We (and our customers) ...