We have data on 10 companies that use MALLET. The companies using MALLET are most often found in United States and in the Higher Education industry. MALLET is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for MALLET usage goes back as far as 5 years and 7 months.
If you’re interested in the companies that use MALLET, you may want to check out Google Translate API and MXNet as well.
|Company||Palantir Technologies Inc.|
|Company||FactSet Research Systems Inc|
|Zvelo Inc||zvelo.com||United States||1M-10M||50-200|
|Palantir Technologies Inc.||palantir.com||United States||>1000M||1000-5000|
|Syracuse University||syracuse.edu||United States||>1000M||5000-10000|
|Emory University||emory.edu||United States||>1000M||>10000|
|FactSet Research Systems Inc||factset.com||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, MALLET has a market share of about 0.1%. Other major and competing products in this category include:
MALLET is a machine Learning for LanguagE Toolkit it is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
Looking at MALLET customers by industry, we find that Higher Education (22%) and Information Technology and Services (22%) are the largest segments.
85% of MALLET customers are in United States.
Of all the customers that are using MALLET, a majority (56%) are large (>1000 employees), 0% are small (<50 employees) and 4% are medium-sized.
Of all the customers that are using MALLET, a majority (73%) are large (>$1000M), 0% are small (<$50M) and 0% are medium-sized.