If your business hasn’t yet begun exploring how it can better understand and respond to the thoughts and opinions about it that consumers share with the world on social media, it may not be long before it does.
Gartner recently released its list of the top ten strategic technologies for 2011, and among the categories on that list was social analytics.The research firmdescribes social analytics as including techniques ranging from social filtering to social-network analysis to sentiment analysis and social-media analytics.
Those categories – or at least a fair number of the offerings falling into them – owe a lot of their existence to semantic web technologies and standards, from NLP to RDF. As Gartner sums it up, “social network analysis tools are useful for examining social structure and interdependencies” and “involves collecting data from multiple sources, identifying relationships, and evaluating the impact, quality or effectiveness of a relationship.”
That’s a pretty apt description of solutions such assmartRealm, which delivers Social Network Authority and Prestige (SNAP) scores via a semantic web API and uses its SocialML ontology for representing social networks in context. Its early adopter program counts among its users marketing agencies that work with brands and product companies, whose customers need to justify their spend on social media and conversational marketing campaigns, and brand companies that have multiple channels on social media “who just want to know their top ten unpaid loyal army that are spread on their networks,”smartRealm co-founder and executive vp Dr. Yasr Bishr toldThe Semantic Web Blogin the spring.