Titlebook: Advances in Collective Intelligence 2011; J?rn Altmann,Ulrike Baum?l,Bernd J. Kr?mer Conference proceedings 2012 Springer-Verlag GmbH Berl

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V. Niranjani,N. Saravana Selvamrly feedback from them and then use the collected information to constantly improve the application. Web applications that take this approach develop deeper relationships with their users, provide more value to users as they return more often, and ultimately offer more targeted experiences for each

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Sebastian Behrendt,Alexander Richterket indicators by analyzing Twitter posts. We collected Twitter feeds for 5 months obtaining a large set of emotional retweets originating from within the US, from which six public opinion time series containing the keywords “.%.”, “$%.”, “.%.”, “.%., “.%.” and “.%.” were extracted. Our results show

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