CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

XQuery wrapper around the Stanford CoreNLP pipeline

ClaimLinker is a Web service and API that links arbitrary text to fact-checked claims, offering a novel kind of semantic annotation of unstructured content. The system is based on a scalable, fully unsupervised and modular approach that does not require training or tuning and which can serve high quality results at real time.

Maven project for Yonsei Hands-on Text Mining course

Extensions for and tools to work with CoreNlp

🔍 ArticleAnalyzer allows you to scrape articles from web pages, clean the content, and analyze it. It leverages the power of natural language processing (NLP) and machine learning to extract valuable insights from the articles. You can identify relevant information, perform part-of-speech tagging, and even analyze if your interests are mentioned

Evaluate semantic annotation of Twitter's conversations through NLP and data mining algorithms in Java language

欧洲野马于1877年灭绝。 在这里是斯坦福的分词器程序。

Example for StanfordNLP and OpenNLP

This Java program uses Stanford CoreNLP library to perform sentiment analysis on user input. The program then prints the sentiment value using the SentimentCoreAnnotations class. It's a good starting point for building more complex natural language processing applications.

Identify/classify words and actions from a given sentence

Integration between lucene 6 & stanford nlp

Assignments of Natural Language Processing by Dan Jurasky & Chris Manning of Stanford University

Sentiment analysis on tweets about COVID-19.

Project for Hacky New Year 2021