SpaCy: An open-source library for industrial-strength natural language processing in Python. It provides high-performance components for tokenization, parsing, named entity recognition, text classification, and more.
Stanford CoreNLP: A suite of NLP tools developed by Stanford University. It offers a wide range of functionalities, including tokenization, sentence segmentation, part-of-speech tagging, named entity recognition, coreference resolution, and sentiment analysis.
NLTK: An open-source toolkit for natural language processing in Python. It provides a comprehensive set of libraries for tasks such as tokenization, stemming, lemmatization, parsing, and sentiment analysis.
SpaCy: An open-source library for industrial-strength natural language processing in Python. It provides high-performance components for tokenization, parsing, named entity recognition, text classification, and more.
MonkeyLearn: A cloud-based platform for building and deploying custom machine learning models for text analysis. It offers a user-friendly interface and a wide range of pre-built models for tasks such as sentiment analysis, classification, and topic modeling.
Aylien: A cloud-based platform for sentiment analysis, topic extraction, and text classification. It offers a wide range of features, including language detection, named entity recognition, and keyword extraction.
Amazon Comprehend: A cloud-based natural language processing service from Amazon Web Services. It offers a wide range of features, including sentiment analysis, entity recognition, topic modeling, and key phrase extraction.
Google Cloud Natural Language: A cloud-based natural language processing API from Google Cloud. It offers a wide range of features, including sentiment analysis, entity recognition, topic modeling, and dependency parsing.
Microsoft Azure Text Analytics: A cloud-based natural language processing API from Microsoft Azure. It offers a wide range of features, including sentiment analysis, entity recognition, key phrase extraction, and language detection.
IBM Watson Natural Language Understanding: A cloud-based natural language processing service from IBM. It offers a wide range of features, including sentiment analysis, entity recognition, relation extraction, and keyword extraction.
Clarifai: A cloud-based platform for image and video recognition. It offers a wide range of features, including object detection, facial recognition, and text recognition.
OpenAI GPT-3: A large language model chatbot developed by OpenAI. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
BERT: A pre-trained language model developed by Google AI. It is a powerful tool for a variety of NLP tasks, including text classification, question answering, and sentiment analysis.
XLNet: A pre-trained language model developed by Google AI. It is similar to BERT, but it is able to attend to the order of words in a sentence, which can make it more effective for certain tasks.
RoBERTa: A pre-trained language model developed by Facebook AI. It is a robustly optimized BERT pre-training approach, which can make it more effective for certain tasks.