NLP enables computers to understand human language. These free tools offer powerful NLP capabilities for tasks like chatbots and sentiment analysis.
spaCy: an open-source NLP library known for fast, efficient processing in tasks like tokenization, POS tagging, and named entity recognition.
NLTK: a comprehensive Python library for NLP, ideal for tokenization, parsing, tagging, and research, with extensive text corpora and resources.
a robust NLP tool suite offering POS tagging, NER, parsing, and sentiment analysis, widely used in research with Java and Python support.
A Python library that provides a simple API for performing common NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and translation
A popular library offering pre-trained models for a wide variety of NLP tasks, such as text generation, sentiment analysis, translation, and summarization.
a scalable NLP service for entity recognition, sentiment analysis, syntax analysis, and content classification, ideal for developers.
A robust text analysis service that offers features like sentiment analysis, entity extraction, keyword extraction, and emotion detection.
Part of the Azure Cognitive Services suite, this tool provides a range of NLP capabilities, including sentiment analysis, key phrase extraction, language detection, and named entity recognition.
A Python library designed for topic modeling and document similarity analysis, Gensim is particularly well-known for its implementation of algorithms like Latent Dirichlet Allocation (LDA) and Word2Vec.
A series of powerful language models developed by OpenAI, including the well-known GPT (Generative Pre-trained Transformer) family.