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Input representation for text classifications request submission. Measuring and Mitigating Unintended Bias in Text Classification · Abstract · Research Areas. Natural Language Processing · Responsible AI. Meet the teams ... 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 ... 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 ... A Gaussian kernel allows an algorithm to learn a linear classifier in an infinite dimensional feature space. 3. A Kernel for Text Sequences- A Step beyond Words. Text Classification Tool Icon Text Classification. The Text Classification tool trains and outputs a text classification model based on your training data. In text classification, we are given a description $\onedoc \in \mathbb{X}$ of a document, where $\mathbb{X}$ is the document space ; and a fixed set of ... ArcGIS geoprocessing tool that trains a single or multilabel text classification model to assign a predefined category or label to unstructured text. May 25, 2016 ... Title:Adversarial Training Methods for Semi-Supervised Text Classification ... Abstract:Adversarial training provides a means of regularizing ...