We have data on 21 companies that use IBM Watson Natural Language Classifier. The companies using IBM Watson Natural Language Classifier are most often found in United States and in the Computer Software industry. IBM Watson Natural Language Classifier is most often used by companies with >10000 employees and 1M-10M dollars in revenue. Our data for IBM Watson Natural Language Classifier usage goes back as far as 2 years and 7 months.
If you’re interested in the companies that use IBM Watson Natural Language Classifier, you may want to check out MXNet and Apache OpenNLP as well.
Company | Relias Learning |
Website | relias.com |
Country | United States |
Revenue | 100M-200M |
Company Size | 500-1000 |
Company | Perpetuuiti TechnoSoft Services Pvt.Ltd. |
Website | ptechnosoft.com |
Country | Singapore |
Revenue | 10M-50M |
Company Size | 50-200 |
Company | Persistent Systems, LLC |
Website | persistentsystems.com |
Country | United States |
Revenue | 1M-10M |
Company Size | 50-200 |
Company | Seven Principles AG |
Website | 7p-group.com |
Country | Germany |
Revenue | 100M-200M |
Company Size | 500-1000 |
Company | Driven, Inc. |
Website | driven-inc.com |
Country | United States |
Revenue | 10M-50M |
Company Size | 50-200 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Relias Learning | relias.com | United States | 100M-200M | 500-1000 |
Perpetuuiti TechnoSoft Services Pvt.Ltd. | ptechnosoft.com | Singapore | 10M-50M | 50-200 |
Persistent Systems, LLC | persistentsystems.com | United States | 1M-10M | 50-200 |
Seven Principles AG | 7p-group.com | Germany | 100M-200M | 500-1000 |
Driven, Inc. | driven-inc.com | United States | 10M-50M | 50-200 |
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, IBM Watson Natural Language Classifier has a market share of about 0.7%. Other major and competing products in this category include:
IBM Watson Natural Language Classifier (NLC) uses machine learning algorithms to analyze text, label them and organize the data into custom categories. It allows developers to build custom text classification models without the need for a data science or machine learning background.
Looking at IBM Watson Natural Language Classifier customers by industry, we find that Computer Software (24%) and Information Technology and Services (24%) are the largest segments.
58% of IBM Watson Natural Language Classifier customers are in United States.
Of all the customers that are using IBM Watson Natural Language Classifier, 21% are small (<50 employees), 25% are medium-sized and 26% are large (>1000 employees).
Of all the customers that are using IBM Watson Natural Language Classifier, a majority (55%) are small (<$50M), 20% are large (>$1000M) and 6% are medium-sized.