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NOAM: news outlets analysis and monitoring system

Authors:

Nello CristianiniAuthors Info & Claims

SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

Pages 1275 - 1278

https://doi.org/10.1145/1989323.1989474

Published: 12 June 2011 Publication History

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Abstract

We present NOAM, an integrated platform for the monitoring and analysis of news media content. NOAM is the data management system behind various applications and scientific studies aiming at modelling the mediasphere. The system is also intended to address the need in the AI community for platforms where various AI technologies are integrated and deployed in the real world. It combines a relational database (DB) with state of the art AI technologies, including data mining, machine learning and natural language processing. These technologies are organised in a robust, distributed architecture of collaborating modules, that are used to populate and annotate the DB. NOAM manages tens of millions of news items in multiple languages, automatically annotating them in order to enable queries based on their semantic properties. The system also includes a unified user interface for interacting with its various modules.

References

[1]

O. Ali, I. Flaounas, T. De Bie, N. Mosdell, J. Lewis, and N. Cristianini. Automating news content analysis: An application to gender bias and readability. In JMLR W&CP: Workshop on Applications of Pattern Analysis, pages 36--43, 2010.

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[2]

N. Cristianini and J. Shawe-Taylor. An Introduction to Support Vector Machines and other Kernel-based learning methods. Cambridge University Press, 2000.

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[3]

I. Flaounas, N. Fyson, and N. Cristianini. Predicting relations in news-media content among EU countries. In Cognitive Information Processing, 2nd International Workshop on, pages 269--274. IEEE, 2010.

Google Scholar

[4]

I. Flaounas, M. Turchi, O. Ali, N. Fyson, T. De Bie, N. Mosdell, J. Lewis, and N. Cristianini. The Structure of EU Mediasphere. PLoS ONE, page e14243, 2010.

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[5]

I. Flaounas, M. Turchi, T. De Bie, and N. Cristianini. Inference and validation of networks. In Machine Learning and Knowledge Discovery in Databases, European Conference, pages 344--358. Springer, 2009.

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[6]

T. Snowsill, F. Nicart, M. Stefani, T. De Bie, and N. Cristianini. Finding surprising patterns in textual data streams. In Cognitive Information Processing, 2nd International Workshop on, pages 405--410, 2010.

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[7]

M. Turchi, I. Flaounas, O. Ali, T. De Bie, T. Snowsill, and N. Cristianini. Found in translation. In Machine Learning and Knowledge Discovery in Databases, European Conference, pages 746--749. Springer, 2009.

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Cited By

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Sun TShu ZHuang YWang HYu Z(2024)Semantic Feature Graph Consistency with Contrastive Cluster Assignments for Multilingual Document ClusteringACM Transactions on Asian and Low-Resource Language Information Processing10.1145/370888724:1(1-22)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3708887
Ge YWu JDai GLiu Y(2019)Text Deduplication with Minimum Loss RatioProceedings of the 2019 11th International Conference on Machine Learning and Computing10.1145/3318299.3318369(310-316)Online publication date: 22-Feb-2019
https://dl.acm.org/doi/10.1145/3318299.3318369
Lu LWang P(2019)Duplication Detection in News Articles Based on Big Data2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2019.8725674(15-19)Online publication date: Apr-2019
https://doi.org/10.1109/ICCCBDA.2019.8725674
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Index Terms

NOAM: news outlets analysis and monitoring system
1. Information systems
  1. Information systems applications

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Published In

SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

June 2011

1364 pages

ISBN:9781450306614

DOI:10.1145/1989323

General Chair:
Timos Sellis
IMIS/RC Athena
,
Program Chair:
Renée J. Miller
University of Toronto
,
Publications Chairs:
Anastasios Kementsietsidis
IBM T.J. Watson Research Center
,
Yannis Velegrakis
University of Trento

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Association for Computing Machinery

New York, NY, United States

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Published: 12 June 2011

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SIGMOD

SIGMOD/PODS '11: International Conference on Management of Data

June 12 - 16, 2011

Athens, Greece

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Sun TShu ZHuang YWang HYu Z(2024)Semantic Feature Graph Consistency with Contrastive Cluster Assignments for Multilingual Document ClusteringACM Transactions on Asian and Low-Resource Language Information Processing10.1145/370888724:1(1-22)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3708887
Ge YWu JDai GLiu Y(2019)Text Deduplication with Minimum Loss RatioProceedings of the 2019 11th International Conference on Machine Learning and Computing10.1145/3318299.3318369(310-316)Online publication date: 22-Feb-2019
https://dl.acm.org/doi/10.1145/3318299.3318369
Lu LWang P(2019)Duplication Detection in News Articles Based on Big Data2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2019.8725674(15-19)Online publication date: Apr-2019
https://doi.org/10.1109/ICCCBDA.2019.8725674
Montalvo SMartínez RFresno V(2018)Quality prediction of multilingual news clusteringJournal of Information Science10.1177/016555151558667141:4(518-530)Online publication date: 29-Dec-2018
https://dl.acm.org/doi/10.1177/0165551515586671
Costella Pessutto LSuarez Vargas DP. Moreira V(2018)Clustering Multilingual Aspect Phrases for Sentiment Analysis2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)10.1109/WI.2018.00-91(182-189)Online publication date: Dec-2018
https://doi.org/10.1109/WI.2018.00-91
Hensinger EFlaounas ICristianini N(2018)Modelling and predicting news popularityPattern Analysis & Applications10.1007/s10044-012-0314-616:4(623-635)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1007/s10044-012-0314-6
Sudhahar SCristianini N(2018)Detecting Shifts in Public Opinion: A Big Data Study of Global News ContentAdvances in Intelligent Data Analysis XVII10.1007/978-3-030-01768-2_26(316-327)Online publication date: 5-Oct-2018
https://doi.org/10.1007/978-3-030-01768-2_26
Al-khateeb SAgarwal NSubrahmanian VRokne JKumar RCaverlee JTong H(2016)The rise & fall of #NoBackDoor on TwitterProceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.5555/3192424.3192581(833-836)Online publication date: 18-Aug-2016
https://dl.acm.org/doi/10.5555/3192424.3192581
Dzogang FLansdall-Welfare TCristianini N(2016)Discovering Periodic Patterns in Historical NewsPLOS ONE10.1371/journal.pone.016573611:11(e0165736)Online publication date: 8-Nov-2016
https://doi.org/10.1371/journal.pone.0165736
Jia SLansdall-Welfare TSudhahar SCarter CCristianini N(2016)Women Are Seen More than Heard in Online NewspapersPLOS ONE10.1371/journal.pone.014843411:2(e0148434)Online publication date: 3-Feb-2016
https://doi.org/10.1371/journal.pone.0148434
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Topic-based coherence modeling for statistical machine translation

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