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Insight4News: Connecting News to Relevant Social Conversations
Author(s)
Date Issued
2014-09-19
Date Available
2017-05-19T11:44:33Z
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 complementary 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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Start Page
473
End Page
476
Series
Lecture Notes in Computer Science
Copyright (Published Version)
2014 Springer
Language
English
Status of Item
Peer reviewed
Journal
Calders, T., Esposito, F., Hullermeier, E. and Meo, R. (eds.). Proceedings Part III: ECML/PKDD 2014: European Conference on Machine Learning and Knowledge Discovery in Databases (Volume 8726)
Conference Details
ECML/PKDD 2014: European Conference on Machine Learning and Knowledge Discovery in Databases, Nancy, France, 15-19 September 2014
ISBN
9783662448458
This item is made available under a Creative Commons License
File(s)
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Name
insight_publication.pdf
Size
171.72 KB
Format
Adobe PDF
Checksum (MD5)
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