Clustering algorithms find natural structure in data and can be used in any domain where the similarity between two data points can be quantified. In terms of Twitter, we will try to group users depending on the most prevalent topics they tweet about. A simple approach is to represent a user with his/her latest 100 [...]
About Francois de Villiers
MSc Computer Science student in Natural Language Processing. Interested in typography, web technologies and user experience design. See Francois's full profile| 29 May | Clustering for a start |
| 17 May | An example of topic models on the web |
Have you ever followed someone on Twitter expecting great tweets, but instead you only see tweets about coffee and muffins? Topic models will come to your rescue. It all comes down to the fact that users need more control on Twitter. Let’s be honest: most tweets in your stream only receive a cursory glance. Have [...]
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New media research at Stellenbosch University
