Browse all content tagged with Text Classification
AllenNLP is a robust open-source library for NLP research, built on PyTorch by AI2. It offers modular, extensible tools, pre-trained models, and easy integration with libraries like spaCy and Hugging Face, supporting tasks such as text classification, coreference resolution, and more.
Naive Bayes is a family of classification algorithms based on Bayes’ Theorem, applying conditional probability with the simplifying assumption that features are conditionally independent. Despite this, Naive Bayes classifiers are effective, scalable, and used in applications like spam detection and text classification.
Text classification, also known as text categorization or text tagging, is a core NLP task that assigns predefined categories to text documents. It organizes and structures unstructured data for analysis, using machine learning models to automate processes such as sentiment analysis, spam detection, and topic categorization.
