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Best slides about Sentiment Analysis and Opinion Mining by Bing Liu in AAAI 2011
Keynote speaker in LAK’2012 Katy Börner present Visual Analytics in Support of Education
Motivation: Design informative and visually pleasing visualizations that make a difference. Three exemplary problems and solutions.
Theory: Learn from and combine approaches from psychology, cartography, computer science, information visualization, statistics, graphic design.
Practice: Plug-and-play macroscope tools that commoditize data mining and visualization.
In a blog posted on April Fool’s Day, Google announced a new feature to its Scholar service. This was no prank. It was the genuine debut of a new tool called Google Scholar Metrics. The service follows the same principle that has made Google’s web search engine so successful – when you are unsure what a user is looking for, give them a list of options ranked by a metric of popularity. In this instance, the users are academics ready to submit their next breakthrough but are uncertain which journal to choose. The solution Scholar Metrics offers is a database summarizing the sway of the distributors of scholarship “to help authors as they consider where to publish their new research“.