Socialnama is a test bed for innovations at the intersection of social media, analytics, mobility and simplification.
Infographics.socialnama.com is an attempt to create the largest collection of infographics out there for easy reference. We track what's being talked about most based on social chatter (Using our Deep-listening platform), select the most relevant content and then categorize via meta data extraction using text analytic techniques (Using our deep-analytics platform). We then apply re-visualization (in this case auto blogging) thereby creating the largest and every growing source of infographics. We also apply limited human moderation on top to make sure that you get content that is worthy of your time. The site is in beta and we are evolving the solution every day. Keep coming back for more. Every day and every hour!
MovieLeaderboard.com is an initiative to create the world's most authentic and accurate real-time social listening based leader board of movies both released and yet to be released. Our automated system analyzes user conversations on the Internet 24/7, filtering out the relevant conversations, applying natural language processing and extracting valuable information and insights in true Internet scale. The model ensures that the ranking and analytics that we generate represent the broadest and most accurate reflection of user sentiments as opposed to the conventional model where a limited set of users discuss about a movie on a specific website. Our platform constantly listens to millions of conversations every day and our algorithms, sift throw and filter out a few hundred or few thousand of these that truly reflect what we are trying to analyze. The end result, insights and information that reflects true global opinion and is up-to-date to the second and in fact evolving while you are on our site. And every passing day, the underlying data and our analytics and better and deeper than ever before.
This is an experiment aimed at doing opt-in based deep profiling on an individuals tastes by using a variety of sources including analyzing online social activities. This is then used to create personal, social and professional preference graphs. These are then superimposed on entity graphs describing an element of interest like books, movies, art forms etc. The result personalized recommendation that get better every time a user uses the same. Watch out for a beta launch very soon.
Email - contactsocialnama@gmail.com.