Testing model performance on unseen data and adversarial examples

Mar 24, 2025 ... In this article ... Custom text classification is one of the custom features offered by Azure AI Language. It is a cloud-based API service that ... Author(s): ROSARIO, RYAN ROBERT | Advisor(s): Wu, Yingnian | Abstract: Text classification typically performs best with large training sets, but short texts ... Jun 8, 2021 ... A compression algorithm has some knowledge of the distribution of words in a corpus. It can thus be used to classify documents. 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 ... Natural Language Inference (NLI). In NLI the model determines the relationship between two given texts. Concretely, the model takes a premise and a hypothesis ... Aug 31, 2024 ... You'll train a binary classifier to perform sentiment analysis on an IMDB dataset. At the end of the notebook, there is an exercise for you to ... In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Jun 27, 2022 ... What is Text Classification? Text Classification is the process of categorizing text into one or more different classes to organize, structure, ... Jul 17, 2019 ... In this work, we propose to use graph convolutional networks for text classification. We build a single text graph for a corpus based on word co ... Aug 1, 2021 ... The general format of natural language inference (NLI) makes it tempting to be used for zero-shot text classification by casting any target ...