FootballWhisper: Transfer Rumour Detection
published: Nov. 28, 2017, recorded: November 2017, views: 817
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Social media has been shown to have potential to predict various real world events, such as movements in the stock market and the outcomes of political elections. In this paper we present the Football Whispers (FW), a website dedicated to fans discussing transfer rumours. The unique selling point of the site is that it provides a crowdsourced assessment of those rumours, measuring the relative likelihood of a player’s movements from social media chatter. This talk will focus on the rumour identification process, highlighting the role of open knowledge graphs and linked data to augment a domain knowledge-based to enable effective Named Entity Linking in noisy, informal social media messages.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !