This is a highly innovative feature for the news industry, based on a pioneering technology that extracts summaries automatically mainly from journalist texts. It generates a list of the highlights for each news cluster and offers’ reader a unique experience of getting informed, without spending time to read all the articles of a cluster. This offers a direct and comprehensive insight into the news in summaries.
“Summaries” offer a state-of-the-art technology in journalistic text summarization. The summarization engine is currently applied to news clusters (i.e. the groups of news texts that refer to the same event). It processes all the texts in the cluster using natural language processing techniques and graph algorithms and extracts a small but comprehensive summary that contains the most essential topics, the highlights of the cluster. These most important aspects of a news cluster are presented at a glance to the user that wants to have a quick view of what the cluster talks about.
When new articles are added to the cluster, the ‘Summaries’ are updated to correspond to the current status of information.