At the heart of eContext is its taxonomy of the commercial and social web. This taxonomy provides a consistent framework that groups conversations, behavior, and digital interactions into topical hierarchies up to 21 tiers, with clear connections between those topics. Clients push large amounts of text data from multiple sources through eContext, creating a single data set for measurement and analytics. With this holistic perspective, they can distill more comprehensive, meaningful insights, in less time.
Then eContext checks each unit against its 55 million positive and negative rules to determine the correct topic, or topics, that content exhibits. This happens hundreds of thousands of times per second, as we enrich the highest velocity data streams available in our industry — everything up to and including the full firehose of Tweets. Thanks to the rules that govern eContext’s decision-making, and the 450,000 different concepts it recognizes, eContext is able to deliver deep, broad, and accurate results.
eContext is the only high-performance, multi-class classification service capable of structuring any text data into hundreds of thousands of topical nodes — at web scale, and with no training. Some machine learning systems that promise similar results require terabytes of corpus data across ungainly hardware clusters. And to offer more than a few classification types, they have maintain a litany of separate models, producing answers that are difficult to merge into a single output.
By comparison, eContext is exceptionally light and accessed through a simple REST API, so it can deliver instantly, whenever and wherever you need it. Integrate it into your current stack, enhance your analytical workflow, or enrich your data pipeline.
With only a few lines of code, you can parse any digital content, extract and classify it, and understand its context within a connected hierarchy of topics.
eContext uses a unique, dynamically curated system of controlled vocabulary rules that deliver better accuracy, throughput, and versatility. eContext understands all topics of interest on the commercial and social web, and its API is refreshed with new, expanded topics every 24 hours. This architecture gives us fine grained control, enhanced customization, and the agility to tailor classifications by vertical, client, or channel. All without building new models each time.