What is CoreNLP?
It provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases or word dependencies, and indicate which noun phrases refer to the same entities.
CoreNLP is a tool in the NLP / Sentiment Analysis category of a tech stack.
CoreNLP is an open source tool with 9.4K GitHub stars and 2.7K GitHub forks. Here’s a link to CoreNLP's open source repository on GitHub
Who uses CoreNLP?
Companies
Developers
15 developers on StackShare have stated that they use CoreNLP.
CoreNLP Integrations
CoreNLP's Features
- An integrated NLP toolkit with a broad range of grammatical analysis tools
- A fast, robust annotator for arbitrary texts, widely used in production
- A modern, regularly updated package, with the overall highest quality text analytics
- Support for a number of major (human) languages
- Available APIs for most major modern programming languagesAbility to run as a simple web service
CoreNLP Alternatives & Comparisons
What are some alternatives to CoreNLP?
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.
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.
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.
Gensim
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
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.
