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Using Overview to analyze 4500 pages of documents on security contractors in Iraq by Jonathan Stray on 02/21/2012 0 This post describes how we used a prototype of the Overview software to explore 4,500 pages of incident reports concerning the actions of private security contractors working for the U.S. State Department during the Iraq war. This was the core of the reporting work for our previous post, where we reported the results of that analysis. The promise of a document set like this is that it will give us some idea of the broader picture, beyond the handful of really egregious incidents that have made headlines. To do this, in some way we have to take into account most or all of the documents, not just the small number that might match a particular keyword search. But at one page per minute, eight hours per day, it would take about 10 days for one person to read all of these documents — to say nothing of taking notes or doing any sort of followup. This is exactly the sort of problem that Overview would like to solve. The reporting was a multi-stage process: Splitting the massive PDFs into individual documents and extracting the text Exploration and subject tagging with the Overview prototype Random sampling to estimate the frequency of certain types of events Followup and comparison with other sources
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Using Overview to analyze 4500 pages of documents on security contractors in Iraq by Jonathan Stray on 02/21/2012 0 This post describes how we used a prototype of the Overview software to explore 4,500 pages of incident reports concerning the actions of private security contractors working for the U.S. State Department during the Iraq war. This was the core of the reporting work for our previous post, where we reported the results of that analysis. The promise of a document set like this is that it will give us some idea of the broader picture, beyond the handful of really egregious incidents that have made headlines. To do this, in some way we have to take into account most or all of the documents, not just the small number that might match a particular keyword search. But at one page per minute, eight hours per day, it would take about 10 days for one person to read all of these documents - to say nothing of taking notes or doing any sort of followup. This is exactly the sort of problem that Overview would like to solve. The reporting was a multi-stage process: Splitting the massive PDFs into individual documents and extracting the text Exploration and subject tagging with the Overview prototype Random sampling to estimate the frequency of certain types of events Followup and comparison with other sources