Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, and mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. Stanford CoreNLP is an integrated framework, which make it very easy to apply a bunch of language analysis tools to a piece of text. Starting from plain text, you can run all the tools on it with just two lines of code. Its analyses provide the foundational building blocks for higher-level and domain-specific text understanding applications.
See the version list below for details.
Install-Package Stanford.NLP.CoreNLP -Version 3.9.2
dotnet add package Stanford.NLP.CoreNLP --version 3.9.2
<PackageReference Include="Stanford.NLP.CoreNLP" Version="3.9.2" />
paket add Stanford.NLP.CoreNLP --version 3.9.2
#r "nuget: Stanford.NLP.CoreNLP, 3.9.2"
New version of Stanford NLP (3.9.2)
- IKVM (= 8.1.5717)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on Stanford.NLP.CoreNLP:
natural language processing for .net
TwitterNLP provides a fast and robust Java-based tokenizer and part-of-speech tagger for tweets, its training data of manually labeled POS annotated tweets, a web-based annotation tool, and hierarchical word clusters from unlabeled tweets.
F# Type Provider for Stanford NLP TokensRegex - http://nlp.stanford.edu/software/tokensregex.html
This package is not used by any popular GitHub repositories.