This course covers the fundamentals of deep learning for text classification, including convolutional and recurrent neural networks.
This paper presents a deep learning approach for large-scale text classification, achieving state-of-the-art results on several benchmark datasets.
This article provides a comprehensive overview of text classification using deep learning, including techniques such as word embeddings and attention mechanisms.
The NLTK library provides tools and resources for text classification, including datasets and algorithms for large-scale text analysis.
This course covers the fundamentals of deep learning for natural language processing, including text classification, sentiment analysis, and machine translation.
This repository provides a collection of deep learning models and techniques for text classification, including code examples and tutorials.
This conference paper presents a large-scale text classification system using deep learning, with applications in sentiment analysis and information retrieval.
The Google Cloud Text Classification API provides a pre-trained model for large-scale text classification, with support for multiple languages and datasets.