EIT Digital Social SenseMaking service assesses causes and effects of web chatter

5 September, 2017 - 11:39

On September 5, EIT Digital released a pressrelease about their Innovation Activity "Social SenseMaking" service.
The service delivers an analysis by making text data quantitatively and qualitatively understandable by linking its most important topics and concepts to existing knowledge bases like Wikipedia or customer-specific ontologies, as well as to the underlying social networks. Its prime commercial use areas will include market research, business intelligence, election forecasting, emergency response and management, topic stickiness or popularity prediction, and trend identification.

Dr Magnus Sahlgren, Senior Researcher at RISE SICS, is the business champion of the SenseMaking activity, as well as co-founder and Chief Scientist of Gavagai. Magnus comments on the SenseMaking service:

“The SenseMaking service can detect spikes of discussions on certain topics from online chatter and social media. It breaks them down into subtopics and detects sets of similar discussion spikes by using temporal topic similarity graph analysis. Further, it will provide an analysis of the underlying social networks which produced the events, such as news websites, politicians, blogs, web-trolls, and so on, depending on the issue. SenseMaking will be the tool to help decision makers make more sense from web chatter data, and predict the effects of social media on their campaigns, products, and so on, before it is too late to take action.”
Read the full press-release here