We have data on 338 companies that use Stanford CoreNLP. The companies using Stanford CoreNLP are most often found in United States and in the Information Technology and Services industry. Stanford CoreNLP is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Stanford CoreNLP usage goes back as far as 5 years and 8 months.
If you’re interested in the companies that use Stanford CoreNLP, you may want to check out Google Translate API and MXNet as well.
|Company||University of California-Berkeley|
|University of California-Berkeley||berkeley.edu||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Natural Language Processing (NLP). By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Natural Language Processing (NLP) category, Stanford CoreNLP has a market share of about 0.7%. Other major and competing products in this category include:
Stanford CoreNLP provides a set of natural language analysis tools that can 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, indicate which noun phrases refer to the same entities, indicate sentiment, extract open-class relations between mentions, etc.
Looking at Stanford CoreNLP customers by industry, we find that Information Technology and Services (20%), Computer Software (15%), Higher Education (12%) and Internet (6%) are the largest segments.
65% of Stanford CoreNLP customers are in United States and 8% are in India.
Of all the customers that are using Stanford CoreNLP, 19% are small (<50 employees), 28% are medium-sized and 49% are large (>1000 employees).
Of all the customers that are using Stanford CoreNLP, 45% are small (<$50M), 7% are medium-sized and 41% are large (>$1000M).