Self-organizing News Self-organizing News Self-organizing News Thesis Readers
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چکیده
Automatic newspaper design requires feature organization. An intermediary between an article database and the graphic designer is implemented that organizes features with regard to their style and content. Topics are determined and style assessed through simple keyword analysis augmented by various content-understanding heuristics. Articles are grouped by two means: comparison against predefined topics, and through classification by a clustering algorithm. The organizer maintains a history of the topics addressed and strives for continuity in its coverage of the news. Thesis Advisor: Walter Bender Principal Research Scientist, MIT Media Lab This work was supported in part by IBM and the NIF Consortium. Self-Organizing News
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تاریخ انتشار 2011