What is NLP Cloud?
High performance NLP models based on spaCy and HuggingFace transformers, for NER, sentiment-analysis, classification, summarization, question answering, and POS tagging. All models are production-ready and served through a REST API. You can also deploy your own spaCy models. No DevOps required.
NLP Cloud is a tool in the NLP / Sentiment Analysis category of a tech stack.
Who uses NLP Cloud?
8 developers on StackShare have stated that they use NLP Cloud.
NLP Cloud Integrations
Python, Node.js, PHP, Ruby, and Golang are some of the popular tools that integrate with NLP Cloud. Here's a list of all 5 tools that integrate with NLP Cloud.
NLP Cloud's Features
- Sentiment analysis
- Question answering
- POS tagging
- Machine learning
- Data science
NLP Cloud Alternatives & Comparisons
What are some alternatives to NLP Cloud?
See all alternatives
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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.
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.
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