What is dimensionality reduction in text classification?

Feb 19, 2021 ... Text classification to streamline online wildlife trade analyses. This is a Preprint and has not been peer reviewed. The published version of ... 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. May 1, 2020 ... We hypothesize that the application of different combinations of preprocessing methods can improve TC results. In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes ... Apr 3, 2025 ... Text classification is a key natural language processing task widely used in areas such as news classification, sentiment analysis, topic ... Use the text classification models to classify a set of words from a resource based on three text classification algorithms: Bag-of-Words, N-Gram, and Text ... Feb 11, 2018 ... I'm able to do text classification and NER using Prodigy, but can I combine the two into a single model which I can load into spacy? Does that make sense? 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 ... Aug 9, 2024 ... This study aimed to evaluate their performances on social media-based health-related text classification tasks. Jun 5, 2023 ... In this blog post, we'll present seven powerful text classification techniques to fit all these situations.