What is Amazon Comprehend?
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
Amazon Comprehend is a tool in the NLP / Sentiment Analysis category of a tech stack.
Who uses Amazon Comprehend?
14 companies reportedly use Amazon Comprehend in their tech stacks, including Shelf, Atrium, and DataScience.
34 developers on StackShare have stated that they use Amazon Comprehend.
Amazon Comprehend Integrations
Amazon Comprehend's Features
- Keyphrase extraction
- Sentiment analysis
- Entity recognition
- Language detection
- Topic modeling
- Multiple language support
Amazon Comprehend Alternatives & Comparisons
What are some alternatives to Amazon Comprehend?
See all alternatives
It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.