Apologies for cross-posting. I thought many of you would find of interest the latest GDELT Project (http://www.gdeltproject.org/) release. All 540,000 hours of English-language American television broadcasts held by the Internet Archive's Television News Archive were processed to extract the complete list of people, organizations, disambiguated locations, and more than 2,238 emotions and themes from each broadcast. The complete dataset (only the extracted metadata, not the broadcasts themselves) is available for download, along with an interactive viewer timeline that allows you to visualize a particular emotion or theme over the last four years of American television news: http://blog.gdeltproject.org/visualizing-the-emotions-of-american-television... http://analysis.gdeltproject.org/cgi-bin/iatvemotions/iatvemotions As an example, here is the plot of the intensity of "Anxiety" over time - notice the huge surge around the government shutdown last October and in June 2012 with the massive derecho storm: http://analysis.gdeltproject.org/cgi-bin/iatvemotions/iatvemotions?var=c8.3&... While the extracted metadata is currently only at the level of a entire broadcast, it offers an enormous range of possibilities in terms of a first exploration of the emotions and themes of American broadcast news. Everything from mapping the geography of television ( http://blog.archive.org/2013/12/13/mapping-400000-hours-of-u-s-tv-news/) to building emotionally-weighted cooccurance networks is possible with this dataset. The ability to infuse cooccurance graphs with emotional, geographic, and thematic context layers opens some particularly interesting doors. A second dataset of possible interest applies the same coding to English translations of 101 speeches given by Syrian President Bashar al-Assad from 2000 to present and a comparison dataset of 21,295 presidential documents from The American Presidency Project for Presidents Clinton, Bush, and Obama: http://blog.gdeltproject.org/leader-speeches-assad-vs-american-presidents/ In the next few days we will be debuting this emotional/thematic coding for all global news media monitored by the GDELT Project, meaning that you will shortly be able to assess these dimensions live over the world's news media: http://blog.gdeltproject.org/introducing-the-global-content-analysis-measure... ~Kalev