What is the difference between text classification and topic modeling?

Aug 15, 2018 ... we are going to learn about text classification — the secret weapon that NLP developers use to build cutting edge systems with relatively dumb ... Natural Language Inference (NLI). In NLI the model determines the relationship between two given texts. Concretely, the model takes a premise and a hypothesis ... We introduce an algorithm for learning from labeled and unlabeled documents based on the combination of Expectation-Maximization (EM) and a naive Bayes ... Jan 29, 2024 ... This post will focus on the Text Classification and Zero-Shot Text Classification tools and includes a demo that sorts e-commerce listings from this Kaggle ... ... classification result. T This method is a classification enhancement method that can classify patent text alone or enhance the accuracy of various types of ... Custom text classification. Custom named entity recognition (available in containers), $5. Text analytics for health (available in containers), 0M-0M - Included ... Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III. 2015. Deep Unordered Composition Rivals Syntactic Methods for Text Classification. In ... 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 ... This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text ... In this paper, we bridge this striking gap by presenting TextShield, a new adversarial defense framework specifically designed for Chinese-based DLTC models.