I've just pushed out the next version of the hapax page. I've changed the interface to allow for dynamic filtering of the news stories presented. You can now type in filter terms (such as 'bbc' or 'greece') and the page will only display those stories that are related to those terms.
Here we see a filter for the term 'greek':
The terms that are used for filtering are extracted from the news articles and include the title, country names, keywords, quoted statements and hapax.
To see these fields, you simply hover over the appropriate indicator below the news article title.
Here, for example, we see the quotes exposed for a story:
In addition, to give an indication of how popular a story is, I've pulled the bit.ly click information for each URL.
Because the number of articles loaded is relatively high and the filtering is instantaneous, this approach allows the user to rapidly develop topics interactively without relying on either automated clustering or having to click through multiple screens to find out what the cluster is.
There are some hidden features to the filtering code which I will write up when I get a chance.
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