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dMetrics is building the definitive map of consumer decision-making. Operating at the forefront of natural language processing, our team of MIT PhDs has built a platform to analyze thousands of social networks, blogs, and forums, identifying and connecting people, their decisions about products, and rationale for these decisions. The result is a dynamic interest graph, helping companies and individuals make better decisions about products to use, campaigns to run, and companies to invest in. Our clients (from Fortune 500 to non-profits) use dMetrics to get the most accurate, unbiased, and transparent view of people's actions, tracing decision making all the way from high-level market insights to high-value discussions.Understanding what people do - and why - is the next frontier of text analytics. Clicks, Likes and Retweets do not representatively convey the voice of the consumer, comprising a tiny portion of the information contributed by Internet users. Most of the Internet (other than photos of kittens) is conversational: blog posts, forum discussions, Twitter dialogues. Our platform extracts consumer decisions from billions of online conversations. So far, our work in healthcare has resulted in the largest database of healthcare-centric insights about 14,000+ products. Similar repositories of consumer insights for CPG, telecom, and banking industries are underway.We liberate our clients from the confines of sentiment analysis, word clouds, topic modeling, and fixed dictionaries - shallow tools for the rich world of online conversations. Our work has been cited in over 4,500 academic publications. Our technology has received five consecutive National Science Foundation SBIR awards.
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