Whether you’re a brand trying to find out what customers are saying about you, or a social platform hoping to deliver a richer, informative experience for your subscribers, there are plenty of barriers to success that universal classificaition for social text data can solve.
Slang, abbreviations, and the frustrations of ever-changing language can hinder your efforts to interpret what’s being said on social media channels. Additionally, to be a leader in social media listening, you need to go beyond brand mentions and broad sentiment.
If you could run your social text data through a text classifier, you would be able to see what’s being talked about and identify patterns that are meaningful to your business.
Developed over 13 years and 1 million hours by 200 subject matter experts, eContext leverages an evolving knowledge base of more than 55 million language elements, structuring streams of content into 450,000 consumer-centric topics.
eContext categorizes the specific interests of individuals and groups, helping you deliver the right message. This categorical perspective lets you spot gaps, trends, and opportunities, and identify the motivations behind every favorite, follow, and #freakingawesomehashtag.
“We are incredibly impressed with what eContext have achieved and can see multiple potential applications of this at different levels of our business.”
“eContext enables us to offer brands and agencies insights about our panel members, including highly accurate and granular analysis of the topics, products, and categories they browse, read, and engage with.”