poster

E3: Keyphrase based News Event Exploration Engine

Authors:

Nikita Jain,

Swati Gupta,

Dhaval PatelAuthors Info & Claims

HT '16: Proceedings of the 27th ACM Conference on Hypertext and Social Media

Pages 327 - 329

https://doi.org/10.1145/2914586.2914611

Published: 10 July 2016 Publication History

Get Access

Abstract

This paper presents a novel system E3 for extracting keyphrases from news content for the purpose of offering the news audience a broad overview of news events, with especially high content volume. Given an input query, E3 extracts keyphrases and enrich them by tagging, ranking and finding role for frequently associated keyphrases. Also, E3 finds the novelty and activeness of keyphrases using news publication date, to identify the most interesting and informative keyphrases.

References

[1]

K. Leetaru and P. A. Schrodt, GDELT: Global data on events, location, and tone. International Studies Association Annual Convention, 2013.

Google Scholar

[2]

G. Leban, B. Fortuna, J. Brank, and M. Grobelnik, Event Registry: Learning About World Events from News. World Wide Web, 2014.

Digital Library

Google Scholar

[3]

J. Hoffart, D. Milchevski, and G. Weikum, STICS: Searching with Strings, Things, and Cats. Special Interest Group on Information Retrieval, 2014.

Digital Library

Google Scholar

[4]

R. Steinberger, B. Pouliquen, and E. V. der Goot, An introduction to the Europe Media Monitor family of applications. Special Interest Group on Information Retrieval, 2009.

Google Scholar

[5]

O. Medelyan and I. H. Witten, Thesaurus Based Automatic Keyphrase Indexing. Joint Conference on Digital Libraries, 2006.

Digital Library

Google Scholar

[6]

K. Wang, C. Thrasher, E. Viegas, X. Li, and B.-j. P. Hsu, An Overview of Microsoft Web N-gram Corpus and Applications. North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, 2010.

Digital Library

Google Scholar

[7]

A. El-Kishky, Y. Song, C. Wang, C. R. Voss, and J. Han, Scalable Topical Phrase Mining from Text Corpora. Very Large Data Bases, 2014.

Digital Library

Google Scholar

[8]

J. Liu, J. Shang, C. Wang, X. Ren, and J. Han, Mining Quality Phrases from Massive Text Corpora. Special Interest Group on Management of Data, 2015.

Digital Library

Google Scholar

[9]

S. Mazumder, B. Bishnoi, and D. Patel, News Headlines: What They Can Tell Us? IBM Collaborative Academia Research Exchange, 2014.

Digital Library

Google Scholar

Cited By

View all

Gupta SPatel D(2019)$$\hbox {NE}^2$$NE2Knowledge and Information Systems10.1007/s10115-018-1208-859:2(311-335)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s10115-018-1208-8
Rana DAgarwal MMore M(2018)A Review of Techniques to Combat The Peril of Fake News2018 4th International Conference on Computing Communication and Automation (ICCCA)10.1109/CCAA.2018.8777676(1-7)Online publication date: Dec-2018
https://doi.org/10.1109/CCAA.2018.8777676
Jain NKandikuntta AJannarapu DManikanta NTarun Kumar TPatel D(2017)ME $$^2$$ 2 : Movie Review Exploration EngineApplications of Cognitive Computing Systems and IBM Watson10.1007/978-981-10-6418-0_3(19-26)Online publication date: 1-Nov-2017
https://doi.org/10.1007/978-981-10-6418-0_3

Recommendations

Document keyphrases as subject metadata: incorporating document key concepts in search results
Abstract
Most search engines display some document metadata, such as title, snippet and URL, in conjunction with the returned hits to aid users in determining documents. However, metadata is usually fragmented pieces of information that, even when combined,...
Domain-specific keyphrase extraction
CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management

Document keyphrases provide semantic metadata characterizing documents and producing an overview of the content of a document. They can be used in many text-mining and knowledge management related applications. This paper describes a Keyphrase ...
Exploiting neighborhood knowledge for single document summarization and keyphrase extraction

Document summarization and keyphrase extraction are two related tasks in the IR and NLP fields, and both of them aim at extracting condensed representations from a single text document. Existing methods for single document summarization and keyphrase ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

HT '16: Proceedings of the 27th ACM Conference on Hypertext and Social Media

July 2016

354 pages

ISBN:9781450342476

DOI:10.1145/2914586

General Chairs:
Jamie Blustein
Dalhousie University, Canada
,
Eelco Herder
L3S Research Center, Germany
,
Program Chairs:
Jessica Rubart
OWL University of Applied Sciences, Germany
,
Helen Ashman
University of South Australia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 July 2016

Check for updates

Author Tags

Qualifiers

Poster

Conference

HT '16

Sponsor:

SIGWEB

HT '16: 27th ACM Conference on Hypertext and Social Media

July 10 - 13, 2016

Nova Scotia, Halifax, Canada

Acceptance Rates

HT '16 Paper Acceptance Rate 16 of 54 submissions, 30%;

Overall Acceptance Rate 378 of 1,158 submissions, 33%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
162
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 12 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Gupta SPatel D(2019)$$\hbox {NE}^2$$NE2Knowledge and Information Systems10.1007/s10115-018-1208-859:2(311-335)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s10115-018-1208-8
Rana DAgarwal MMore M(2018)A Review of Techniques to Combat The Peril of Fake News2018 4th International Conference on Computing Communication and Automation (ICCCA)10.1109/CCAA.2018.8777676(1-7)Online publication date: Dec-2018
https://doi.org/10.1109/CCAA.2018.8777676
Jain NKandikuntta AJannarapu DManikanta NTarun Kumar TPatel D(2017)ME $$^2$$ 2 : Movie Review Exploration EngineApplications of Cognitive Computing Systems and IBM Watson10.1007/978-981-10-6418-0_3(19-26)Online publication date: 1-Nov-2017
https://doi.org/10.1007/978-981-10-6418-0_3

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Document keyphrases as subject metadata: incorporating document key concepts in search results

Domain-specific keyphrase extraction

Exploiting neighborhood knowledge for single document summarization and keyphrase extraction