We have data on 30 companies that use textacy. The companies using textacy are most often found in United States and in the Information Technology and Services industry. textacy is most often used by companies with >10000 employees and 1M-10M dollars in revenue. Our data for textacy usage goes back as far as 6 years and 7 months.
If you’re interested in the companies that use textacy, you may want to check out Google Translate API and MXNet as well.
Company | Wipro Ltd |
Website | wipro.com |
Country | India |
Revenue | >1000M |
Company Size | >10000 |
Company | Microsoft |
Website | microsoft.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | International Business Machines Corporation |
Website | ibm.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Accenture PLC |
Website | accenture.com |
Country | Ireland |
Revenue | >1000M |
Company Size | >10000 |
Company | Centric Software |
Website | centricsoftware.com |
Country | United States |
Revenue | 100M-200M |
Company Size | 500-1000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Wipro Ltd | wipro.com | India | >1000M | >10000 |
Microsoft | microsoft.com | United States | >1000M | >10000 |
International Business Machines Corporation | ibm.com | United States | >1000M | >10000 |
Accenture PLC | accenture.com | Ireland | >1000M | >10000 |
Centric Software | centricsoftware.com | United States | 100M-200M | 500-1000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Deep Learning. 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 Deep Learning category, textacy has a market share of about 0.1%. 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 Information Technology and Services (24%), Financial Services (10%), Computer Software (7%) and Higher Education (7%) are the largest segments.
44% of textacy customers are in United States, 17% are in United Kingdom, 10% are in India and 7% are in France.
Of all the customers that are using textacy, 17% are small (<50 employees), 21% are medium-sized and 37% are large (>1000 employees).
Of all the customers that are using textacy, 27% are small (<$50M), 0% are medium-sized and 44% are large (>$1000M).