What are code-switched text classification?

May 4, 2020 ... Text Classifier Predictor — NodePit. Predictor for a dictionary-based text classifier for categorizing text documents. We (and our customers) ... May 29, 2012 ... ... text classification using a world knowledge ontology. Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 ... 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. 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 ... Oct 28, 2013 ... Text categorization ... Text categorization (a.k.a. text classification) is the task of assigning predefined categories to free-text documents. It ... In this paper, a brief overview of text classification algorithms is discussed. This overview covers different text feature extractions, dimensionality ... Nov 10, 2022 ... This tutorial walks you through the steps of training a model to classify text in consumer complaints by using the watson_nlp library from IBM Watson NLP. Feb 20, 2024 ... Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning ... Natural Language Inference (NLI). In NLI the model determines the relationship between two given texts. Concretely, the model takes a premise and a hypothesis ... The text classification algorithm takes a text string as input and outputs a probability for each of the class labels. Training datasets must be in CSV format.