zveloDP™ Content Dataset Supports Page-level Granularity with nearly 500 Categories in Dozens of Languages Today zvelo announced the delivery of the enhanced Content dataset on the zveloDP. The enhancements of the Content dataset extends zvelo’s market leadership position established over the past decade of the most accurate and broadest coverage content categorization offering available. The…
zvelo once offered 53 categories that were used to classify content on websites about Businesses & Services, Politics & Law, Portal Sites and others. This was later raised to 141 categories to help cover even more topics. The latest version boasts nearly 500 categories, making it one of the most granular categorization sets in the industry. We’ve managed to upgrade our categorization systems to better serve the needs of our existing and future technology partners and following is one example why this matters.
Given the dynamic nature of the majority of today’s websites, categorization at the full path URL versus the base domain is superior and now required. Parts of a website include the top-level domain (.com, .org, etc.), the base domain (example.com), sub-domain (subdomain.example.com) or sub-path (example.com/page). When categorizing content, it is highly important to recognize exactly what is being classified within a website because content can differ dramatically across full path URLs.
Manually classifying the content on a single web page takes but a few seconds to accomplish. Analyzing the keywords – words or phrases – used and the number of instances of each – keyword density – is one way to go about it. When needing to classify the content on billions of web pages at a time, however, the task becomes overwhelmingly daunting for any human eye to handle. In this scenario, only an automated content classification engine can succeed.
Anatomy of a Dynamic Website Of the hundreds of billions of URL queries zvelo has received for website categorization in 2013, an estimated 27% have been classified as being dynamic (see image 1). Dynamic categories in this data sample included Social Networking, News, Search Engines, Personal Pages & Blogs, Community Forums, Technology (General), and Chat.…