eContext
Semantic text classification platform that organizes unstructured content into a structured taxonomy in real time via API.
About
eContext is a semantic classification platform built for organizations that need to make sense of large volumes of unstructured text. It classifies content across social media, news feeds, search data, video transcripts, and reviews against a taxonomy of up to 500,000 nodes in real time, processing thousands of records per second.
Data scientists use it to prepare labeled datasets for machine learning, while brands and agencies use it for audience analysis, content targeting, and consumer behavior research. Integration is handled through an API, making it suitable for automated pipelines. Pricing is not listed publicly; interested teams contact the company directly for a demo and a quote.
Data scientists use it to prepare labeled datasets for machine learning, while brands and agencies use it for audience analysis, content targeting, and consumer behavior research. Integration is handled through an API, making it suitable for automated pipelines. Pricing is not listed publicly; interested teams contact the company directly for a demo and a quote.