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BlogScope: spatio-temporal analysis of the blogosphere

Published: 08 May 2007 Publication History

Abstract

We present BlogScope (www.blogscope.net), a system for analyzing the Blogosphere. BlogScope is an information discovery and text analysis system that offers a set of unique features. Such features include, spatio-temporal analysis of blogs, flexible navigation of the Blogosphere through information bursts, keyword correlations and burst synopsis, as well as enhanced ranking functions for improved query answer relevance. We describe the system, its design and the features of the current version of BlogScope.

References

[1]
D. Gruhl, R. V. Guha, R. Kumar, J. Novak, and A. Tomkins. The predictive power of online chatter. In SIGKDD. ACM, 2005.
[2]
A. Chandel, O. Hassanzadeh, N. Koudas, M. Sadoghi, and D. Srivastava. Benchmarking Declarative Approximate Selection Predicates In SIGMOD, 2007.
[3]
State of the Blogosphere -- aug 2006. http://www.sifry.com/alerts/archives/000436.html.

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    cover image ACM Conferences
    WWW '07: Proceedings of the 16th international conference on World Wide Web
    May 2007
    1382 pages
    ISBN:9781595936547
    DOI:10.1145/1242572
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 May 2007

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    Author Tags

    1. blogs
    2. information discovery
    3. text analysis
    4. trends
    5. visualization

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    WWW'07
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    WWW'07: 16th International World Wide Web Conference
    May 8 - 12, 2007
    Alberta, Banff, Canada

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    • (2020)Analyzing #LasTesis Feminist Movement in Twitter Using Topic ModelsSocial Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis10.1007/978-3-030-49570-1_44(624-635)Online publication date: 10-Jul-2020
    • (2019)Upgrading event and pattern detection to big dataInternational Journal of Computational Science and Engineering10.5555/3337507.333751618:4(404-412)Online publication date: 1-Jan-2019
    • (2019)The importance of unexpectedness: Discovering buzzing stories in anomalous temporal graphsWeb Intelligence10.3233/WEB-19041217:3(177-198)Online publication date: 16-Aug-2019
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    • (2018)A Context-Aware Fuzzy Classification Technique for OLAP Text AnalysisRecent Findings in Intelligent Computing Techniques10.1007/978-981-10-8633-5_8(73-85)Online publication date: 4-Nov-2018
    • (2018)ALTAS: An Intelligent Text Analysis System Based on Knowledge GraphsWeb and Big Data10.1007/978-3-319-96890-2_40(466-470)Online publication date: 19-Jul-2018
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