Surge in URL categorization requests for Turkish websites sparked enhancements
Greenwood Village, Colorado – – zvelo, a leading provider of contextual and semantic data sets about URLs, text, social media conversations, unstructured data and more, has enhanced its AI and NLP-based categorization engine to boost the category granularity and coverage of Turkish websites and web content.
“Some of our customers have a significantly increasing number of Internet users within this large geographical area,” explains Jay Rollings, zvelo’s Sr. VP of Service Delivery. “This rapid growth and strong demand led us to not only enhance our Turkish categorization coverage; we also improved our infrastructure to allow us, and our customers, to scale with future surges in traffic stemming from the European and Asian territories that the language is spoken in.”
The data sets stored in the company’s zveloDB® URL database are accessible via an on-disk SDK or a cloud API. A sample of the company’s data sets can be previewed at zvelo.com.
About zvelo, Inc.
zvelo is a leading “Data as a Service” provider whose contextual categorization, malicious website and ad fraud detection services are used to generated a wide range of data sets, attributes and other signals including language, category values (including IAB taxonomies), named entities/sentiment, ad fraud, malicious and more for URLs, the Deep Web and unstructured data. These data sets can be accessed through simple, straightforward SDKs and APIs for integration with applications in the online advertising, data analytics, network security and endpoint security, and other use cases where contextual categorization accuracy, responsiveness, coverage, malicious detection, high performance throughput and scalability are required.