![Stanford CoreNLP](https://cdn.freework.ai/cdn-cgi/image/width=636,quality=75,format=auto/cover_url/stanfordnlp.github.io.png)
![left arrow](/cdn-cgi/image/width=34,quality=75,format=auto/images/arrow-left.png)
![right arrow](/cdn-cgi/image/width=34,quality=75,format=auto/images/arrow-right.png)
What is Stanford CoreNLP?
Stanford CoreNLP is an advanced natural language processing (NLP) toolkit created by the Stanford Natural Language Processing Group. It offers a variety of capabilities for extracting valuable information from text, such as sentiment analysis, entity recognition, part-of-speech tagging, and more. CoreNLP is designed to be user-friendly and accessible, even for individuals without prior experience in NLP. This means that anyone can quickly develop powerful applications using CoreNLP. By utilizing CoreNLP, users can efficiently identify significant topics, entities, and sentiments within their text data. Moreover, CoreNLP is highly scalable and can handle large datasets with ease. Furthermore, CoreNLP is an open-source tool, allowing users to access the code for free and customize it to suit their specific requirements. With its extensive range of features, CoreNLP is the perfect solution for those seeking to harness the potential of natural language processing.
Information
- Price
- Contact for Pricing
![](/cdn-cgi/image/width=312,quality=75,format=auto/images/logo-mark.png)
Freework.ai Spotlight
Display Your Achievement: Get Our Custom-Made Badge to Highlight Your Success on Your Website and Attract More Visitors to Your Solution.
Website traffic
- Monthly visits34.74K
- Avg visit duration00:02:18
- Bounce rate65.01%
- Unique users--
- Total pages views81.49K
Access Top 5 countries
Traffic source
Stanford CoreNLP FQA
- What can CoreNLP do?
- Which languages does CoreNLP support?
- How can I run a CoreNLP pipeline?
- What are some of the linguistic annotations generated by CoreNLP?
- What are the programming languages and operating systems supported by CoreNLP?
Stanford CoreNLP Use Cases
Use Stanford CoreNLP to derive linguistic annotations for text
Tokenize text and identify sentence boundaries
Extract parts of speech from text
Recognize named entities in text
Perform dependency parsing on text
Resolve coreferences in text
Extract quotes and their attributions from text
Analyze sentiment of text
Clean XML data
Perform multi-word token expansion