We have data on 10 companies that use textacy. The companies using textacy are most often found in United States and in the Computer Software industry. textacy is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for textacy usage goes back as far as 3 years and 5 months.
|Northumbria University||northumbria.ac.uk||United Kingdom||None||None|
|Data Science Retreat||datascienceretreat.com||Germany||1M-10M||10-50|
|Rolls-Royce Holdings PLC||rolls-royce.com||United Kingdom||>1000M||>10000|
|General Assembly Space, Inc.||generalassemb.ly||United States||100M-200M||500-1000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 12,500 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, textacy has a market share of about 0.4%. Other major and competing products in this category include:
Textacy is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance spaCy library that has tokenization, part-of-speech tagging, dependency parsing, etc. offloaded to another library, textacy focuses on tasks facilitated by the ready availability of tokenized, POS-tagged, and parsed text.
Looking at textacy customers by industry, we find that Computer Software (28%), Education Management (18%), Aviation & Aerospace (8%) and Information Technology and Services (8%) are the largest segments.
32% of textacy customers are in United States and 22% are in United Kingdom.