Insight4News: Connecting News to Relevant Social Conversations

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Show simple item record Shi, Bichen Ifrim, Georgiana Hurley, Neil J. 2017-05-19T11:44:33Z 2017-05-19T11:44:33Z 2014 Springer en 2014-09-19
dc.identifier.isbn 9783662448458
dc.description ECML/PKDD 2014: European Conference on Machine Learning and Knowledge Discovery in Databases, Nancy, France, 15-19 September 2014 en
dc.description.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. en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher Springer en
dc.relation.ispartof 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) en
dc.relation.ispartofseries Lecture Notes in Computer Science en
dc.rights The final publication is available at Springer via en
dc.subject Media analytics en
dc.subject News tracking en
dc.subject Social media en
dc.subject Twitter en
dc.subject Summarization en
dc.title Insight4News: Connecting News to Relevant Social Conversations en
dc.type Conference Publication en
dc.status Peer reviewed en
dc.identifier.startpage 473 en
dc.identifier.endpage 476 en
dc.identifier.doi 10.1007/978-3-662-44845-8_38
dc.neeo.contributor Shi|Bichen|aut|
dc.neeo.contributor Ifrim|Georgiana|aut|
dc.neeo.contributor Hurley|Neil J.|aut| 2016-11-17T12:03:30Z

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