Following the United Kingdom’s decision to leave the European Union on 23 June 2016, the EU-funded SENSEI project has revealed that it accurately predicted the result of the referendum by analysing 6 million social media conversations in the weeks preceding the vote.

The SENSEI (Making Sense of Human-Human Conversation Data) project aims to make sense of the millions of blog posts and social media conversations that take place every day…

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Monitoring Brexit – The Story

In the month preceding the referendum date, SENSEI’s system monitored millions of social media conversations to predict the outcome of the referendum.
Every day, more than 300 000 posts across multilingual media sources on the topic of the UK EU Referendum are captured and automatically analysed by the SENSEI technology. 
Most exit polls were showing confidence the REMAIN side would prevail. In contrast, the SENSEI system hit with very high accuracy the final outcome.

Monitoring BREXIT – What Happened
 

Press

Press Release (English)

Press Release (Italian)

We are developing the language technology and evaluation frameworks for the SENSEI summarisation technology.
We are now ready to show the first prototypes of multilingual summarisation systems and its application to spoken conversations ( call centres ) as well as news and social media conversations

If you want to know more, please visit the website sensei-conversation.eu or contact info@sensei-conversation.eu

Analysis and Summarisation of Spoken Conversations

Analisys and Summarization of Social Media Conversations