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Latest revision as of 07:03, 1 July 2014
Contents
Description
This project consists of 2 components. The first one is taking a base URL address of a page containing lots of links to appropriate content, or resources, and constructing an automated classification of these resources using TF–IDF (term frequency/inverse document frequency) methods to represent, index and summarize the content. The second component is to generate a dynamic graph of the content (as shown on the example images).
Expected results
- User provides a base URL address (e.g., http://cran.r-project.org/web/packages/available_packages_by_date.html].
- The data pre-processing algorithm computes the hierarchical clustering of the resources listed on the page, based on their names (and perhaps the content of the resource link, itself).
- The graphical engine lays out the graph as a D3 graph (e.g., SOCR Navigator)
- Graph manipulation functionality allows user to quickly navigate the content of the graph, double-clicking a node hides its children, right-click opens the URL page of the resource represented by the node.
Knowledge Prerequisite
HTML5, CSS, JavaScript (JQuery and CoffeeScript experience or learning interest is a plus).
See also
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