JulienWhat 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 Chatbots & Assistants category of a tech stack.
Key Features
Sentiment analysisClassificationSummarizationQuestion answeringPOS taggingAPIMachine learningAIData science
NLP Cloud Pros & Cons
Pros of NLP Cloud
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Cons of NLP Cloud
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NLP Cloud Alternatives & Comparisons
What are some alternatives to NLP Cloud?
Transformers
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.
SpaCy
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
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.
