newsLens: building and visualizing long-ranging news stories

WS 2017 Philippe LabanMarti Hearst

We propose a method to aggregate and organize a large, multi-source dataset of news articles into a collection of major stories, and automatically name and visualize these stories in a working system. The approach is able to run online, as new articles are added, processing 4 million news articles from 20 news sources, and extracting 80000 major stories, some of which span several years... (read more)

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