Today, we have access to more data than we’ve ever had before and how to make sense of data is becoming a bigger challenges. Trying to create a unified data classification framework for each project you work on is frustrating, time consuming, and expensive.
eContext is a data classification system that creates a data taxonomy based on data classification best practices. Data aggregators Use our data mapping tools to push information from any source through a text classification system for taxonomy development in real time. Taxonomy creation helps you get a very granular, detailed picture of your data, creating a sort of keyword map that shows you what your audience cares about, what they’re talking about, and what’s relevant to them.
Content from social streams, third parties, or user behavior profiles is quickly organized into a detailed data structure classification framework. The Context data classification process can provide data mapping for an entire Firehose of social network content, or clickstream data from tens of thousands — or millions — of users, all in real-time, using more than 55 million rules to determine the right contextual meaning for every interaction.
See how Context’s search taxonomy can transform the way you think about your data. Tell us what kind of barriers you have with structuring your data and we’ll develop a demo tailored to your needs to show you how our data classification solutions can help you.
“After extensive tests, eContext was the clear winner. eContext powers VEDO Focus, where our clients are able to classify and enrich a vast amount of data in real time. We are delighted with eContext’s level of depth and accuracy.”
“eContext’s classification helps us understand, in real time, the relevant topics driving conversations across myriad digital properties so that we can provide previously unknown insights to some of the world’s largest companies.”
“Wow — eContext is like named-entity recognition on steroids! In my research, I’ve worked with long-form text for years, including news, surveys, and conversational data, but I’ve never seen it structured and annotated so effectively before. Your algorithms are incredible.”