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Showing posts with the label data science

Using math to extract information from social data

Many people say we are in the information era, but it seems that we are passed this. Nowadays, information is within everyone's reach, about everything and as much as we want. Data is not the issue anymore, at least most of the time. The real issue is  how to analyze the data.  It seems that having information is not the problem now, but actually having too much  data. One of the places in which we can find too much data are social networks. The richness of social networks is that they are a continuous flow of interesting data, what I like to call social data .  Social data is so rich as you can extract information from it in so many ways. One is to analyze what people express over a specific topic on social media. To this end, I developed  a way to identify the most important ideas found on a stream of user comments. Basically an algorithmic summary tool.  With a data set of a few tens of user comments, it is easy to grasp the general feelings and thoughts that