Listening and monitoring what people say, what their needs, their opinions and their proposals are. For this purpose the NOMAD Crawler will be used – a program which, searches the Web, goes and visit the relevant possible sources of information such as, among others:
  • Micro-blogging sites such as Twitter
  • Blogs including Blogger, WordPress, Typepad & LiveJournal
  • Video sites including YouTube, Vimeo, Metacafe, Bliptv
  • Social networks such as Facebook and MySpace
  • Discussion forums
  • News sites, whether international, national or regional
  • Images sites such as Flickr
  • Corporate sites
Analyzing the content, concerns, sentiments and other information hidden within the text of the citizens conversations working on tailoring this analysis to the specific policy-makers’ objectives creating a semantically rich, accurate stream of data that can be leveraged in the next phases. Each web page found by the NOMAD Crawler goes through a series of automated analysis processes:
  • Language detection: With the use of a Natural Language Processing algorithm which will recognize the language used in the page
  • Opinion and Argument Extraction: With the use of the appropriate semantic similarity measures and the inference mechanism that will allow NOMAD to identify analysed content that is pertinent to the arguments that make up a policy.
  • Sentiment Analysis: Smart sentiment classifiers analyse the mentions and recognize their ‘tone’ (positive, neutral, negative) towards each query
  • Argument Summarisation: With the use of the appropriate algorithms for generating qualitative information about opposing arguments, in the form of anonymity-preserving and automatically-generated summaries.
The analysis outcome will include a Position Map of the extracted argument clusters, built upon the relevance, the visibility and the sentiment (either positive or negative) of the data collected from the web hosted conversations. With the use of visual analytics all related data will be presented into a visible form that highlights important features, including commonalities and/or discrepancies. In this context, all the data that comes from sources as diverse as blogs, online opinion polls and government reports are properly displayed for an effective use.
Once the policy maker finds out about the existing opinions of his constituency regarding a cluster of problems, and he is helped by the argument extraction and visualisation to formulate his draft-policy agenda, he will be able to test it out against social opinion. With the use of NOMAD tools will be able to do this by:

Latest News

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    Friday, December 05, 2014