Ignoring evaluation on a separate test set Misinterpreting evaluation metrics

Feb 20, 2024 ... Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning ... Mar 29, 2024 ... Text data augmentation and pre-trained Language Model for enhancing text classification of low-resource languages Jun 15, 2022 ... The Text Classification API is an API that makes it easier for you to train custom text classification models in ML.NET using the latest state- ... 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 ... Dec 24, 2022 ... In this post we'll see a demonstration of an NLP-Classification problem with 2 different approaches in python. Sep 4, 2024 ... This notebook shows an end-to-end example that utilizes the Model Maker library to illustrate the adaptation and conversion of a commonly-used text ... This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text ... 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. Text Classification, also known as text categorization or text tagging, is a technique used in machine learning and artificial intelligence to automatically ... In this paper, a brief overview of text classification algorithms is discussed. This overview covers different text feature extractions, dimensionality ...