DeepPavlov is an open-source library for natural language processing (NLP) and dialog systems. It provides a comprehensive suite of tools and techniques to develop AI applications that can understand and interact with humans in natural language.

With DeepPavlov, users can easily create chatbots, build text classifiers, and develop sentiment analysis models. The library includes state-of-the-art models such as BERT, GPT-2, and ELMo, as well as traditional NLP algorithms like word2vec, tf-idf, and LSA.

Additionally, DeepPavlov offers a variety of features for data preprocessing, model training, and evaluation. It makes it easier for developers to create powerful AI models quickly and effectively. The platform is designed to be user-friendly and provides a range of tutorials, API references, and code examples.

Use Cases And Features

1. Create chatbots to interact with humans in natural language.

2. Train text classifiers to understand and categorize data.

3. Develop sentiment analysis models to understand user sentiment.