Insight4News: Connecting News to Relevant Social Conversations
Publication Type:
Refereed Conference Meeting Proceeding
Abstract:
We present the Insight4News system that connects news
articles to social conversations, as echoed in microblogs such as Twitter.
Insight4News tracks feeds from mainstream media, e.g., BBC, Irish
Times, and extracts relevant topics that summarize the tweet activity
around each article, recommends relevant hashtags, and presents comple-
mentary views and statistics on the tweet activity, related news articles,
and timeline of the story with regard to Twitter reaction. The user can
track their own news article or a topic-focused Twitter stream. While
many systems tap on the social knowledge of Twitter to help users stay
on top of the information wave, none is available for connecting news to
relevant Twitter content on a large scale, in real time, with high precision
and recall. Insight4News builds on our award winning Twitter topic
detection approach and several machine learning components, to deliver
news in a social context.
Conference Name:
ECML/PKDD 2014
Proceedings:
ECML/PKDD 2014
Digital Object Identifer (DOI):
10.na
Publication Date:
15/09/2014
Conference Location:
France
Research Group:
Institution:
National University of Ireland, Dublin (UCD)
Open access repository:
No
Publication document: