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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.
184
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Technology
is any of
CoreNLP
Company | Country | Industry | Employees | Revenue | Technologies |
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United States | It Services And It Consulting | 500 | $24M | CoreNLP | |
United States | It Services And It Consulting | 29K | $14B | CoreNLP | |
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| CoreNLP | |||
United Kingdom | Climate Data And Analytics | 85 | $20M | CoreNLP | |
Education |
| CoreNLP | |||
United States | It Services And It Consulting | 240 | $35M | CoreNLP | |
United States | Pharmaceutical Manufacturing | 41K | $28B | CoreNLP | |
Germany | Software Development | 166K | $94B | CoreNLP | |
Canada | E-Learning Providers | 1.8K | $10M | CoreNLP | |
France | It Services And It Consulting | 16K |
| CoreNLP |
We have data on 184 companies that use CoreNLP. Our CoreNLP customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
CoreNLP is used in 17 countries
There are 51 alternatives to CoreNLP
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
CoreNLP is a widely-used natural language processing (NLP) tool developed by Stanford NLP Group. It offers a suite of text analysis tools that can help users derive meaning from unstructured text data. CoreNLP incorporates various functionalities such as named entity recognition, part-of-speech tagging, sentiment analysis, dependency parsing, and more. With its easy-to-use interface and robust capabilities, CoreNLP has become a go-to solution for researchers, developers, and data scientists working on text-related projects.
NLP, or Natural Language Processing, is a subfield of artificial intelligence that focuses on the interaction between computers and humans using natural language. CoreNLP falls into the category of NLP tools and specifically excels in tasks related to sentiment analysis, where it can detect and interpret emotions, opinions, and attitudes expressed in text. This makes it a valuable tool for companies looking to gauge customer sentiment from reviews, social media interactions, and other text sources to make informed business decisions.
CoreNLP was founded by the Stanford NLP Group and was first released in 2014. The motivation behind its development was to create a comprehensive and efficient NLP tool that could handle a wide range of text processing tasks effectively. Over the years, CoreNLP has undergone several updates and improvements, enhancing its performance and adding new features to better serve its users. Today, CoreNLP continues to be a top choice for NLP projects due to its accuracy, speed, and scalability.
In terms of market share, CoreNLP holds a significant position within the NLP tool category. Its reputation for accuracy and reliability has earned it a loyal user base across different industries, ranging from academia to tech companies. With the increasing demand for NLP solutions in various applications such as chatbots, sentiment analysis, and document summarization, CoreNLP is poised to see continued growth in the future. As businesses focus more on understanding and leveraging text data, CoreNLP is expected to maintain its relevance and expand its market share further in the coming years.
You can access an updated list of companies using CoreNLP by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 184 companies that use CoreNLP.
CoreNLP is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "It Services And It Consulting", "Climate Data And Analytics", "Education", "It Services And It Consulting", "Pharmaceutical Manufacturing", "Software Development", "E-Learning Providers", "It Services And It Consulting". For a comprehensive list of all industries utilizing CoreNLP, please visit TheirStack.com.
Some of the companies that use CoreNLP include eClinical Solutions, LLC, Leidos, Fathom Health, Fathom, NYP Nanyang Polytechnic, All Points Logistics, Eli Lilly, Bosch, Paper, Expleo Group and many more. You can find a complete list of 184 companies that use CoreNLP on TheirStack.com.
Based on our data, CoreNLP is most popular in United States (68 companies), India (14 companies), Germany (6 companies), United Kingdom (6 companies), France (5 companies), Canada (4 companies), Australia (2 companies), Ireland (2 companies), Austria (1 companies), Brazil (1 companies). However, it is used by companies all over the world.
You can find companies using CoreNLP by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.