We are happy to announce the contribution of our open source Contexts framework to the SocialSensor Horizon2020 EU project upon their request. The Contexts framework has been released with the GNU General Public License v3.0.
The motivation for SocialSensor is as follows: Twitter, Facebook, YouTube, Instagram, and other social media platforms, all produce an overwhelming amount of data. Whether they use social media casually or professionally, users are finding it increasingly difficult to stay on top of what’s happening across the range of available platforms.
The aim of the SocialSensor project is to develop software that meets this challenge. The result is a set of software applications that collect data from social media and automatically transforms it into interesting, relevant, and entertaining content for the purposes of both news and infotainment.
The vision that has guided the SocialSensor project can be summed up in a single sentence: “SocialSensor quickly surfaces trusted and relevant material from social media - with context.”
- quickly: SocialSensor works in real time;
- surfaces: SocialSensor automatically discovers, clusters, and searches;
- trusted: SocialSensor automatically supports the verification process;
- relevant: SocialSensor personalizes content;
- material: SocialSensor handles text, images, audio and video;
- social media: SocialSensor utilizes a number of social media platforms; ·
- with context: SocialSensor organizes content by location, time, sentiment and influence.
SocialSensor collects, processes, and aggregates big streams of social media data and multimedia to discover trends, events, influencers, and interesting media content. We undersand it will be made to analyse the tweets related to government elections in UK.