FastText Model

FastText is a word embedding and text classification model known for its speed and efficiency, particularly valuable in resource-constrained environments or applications requiring real-time processing. Current research focuses on integrating FastText with other architectures, such as transformers and deep learning models (e.g., CNN-BiLSTM), to improve performance on tasks like multilingual text classification, sentiment analysis, and query classification. Its applications span diverse fields, including customer service automation, social media monitoring for mental health, and improved search functionality, demonstrating its practical utility across various domains.