Market Intelligence
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Case Study
Nstein Text Mining Engine's sentiment analysis module allows evolve24 to quickly determine the tone of an article.
Cut through the static in a crowd, and find meaning in the market's voices
By applying Nstein’s text analytics, aggregation and syndication tools to the disparate voices of the market, marketers are able to hear the voices of customers, identify trends and predict risks and opportunities. Nstein allows disparate data to be ingested from any source, and then applies the principles of content intelligence to those feeds by layering on rich semantic metadata. All this market data is aggregated and ready to be analyzed -- right down to tone.
This provides unprecedented understanding of market voices; imagine, structured data ready to be analyzed from multiple perspectives, all without contracting a market research firm. The internet has become the world’s largest focus group, use Nstein’s solutions to tap it.
Evolve24 uses Nstein to mine content from thousands of information sources for each of its Fortune500 clients on a daily basis to extract sentiment on particular brands. By semantically analyzing content, evolve24 can assess risk or reputation related to certain entities or concepts, and translate that into actionable intelligence.
