World Wide Web can be seen as a massive memory for human activities and experiences, which are stored in the form of huge networks of various sorts. Not only do online news papers report on various events the public would be interested in but also personal and social media such as blog posts and twits reflect various personal activities experiences that may be related to other events or other activities implicitly or explicitly. In this talk, I will introduce our ongoing efforts to capture activity-based human experiences from personal and social media by means of natural language processing techniques. Also discussed will be an attempt to automatically build topic-based semantic social networks.
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