IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v1y2007i2p131-144.html
   My bibliography  Save this article

Generating overview timelines for major events in an RSS corpus

Author

Listed:
  • Prabowo, Rudy
  • Thelwall, M.
  • Alexandrov, Mikhail

Abstract

Really simple syndication (RSS) is becoming a ubiquitous technology for notifying users of new content in frequently updated web sites, such as blogs and news portals. This paper describes a feature-based, local clustering approach for generating overview timelines for major events, such as the tsunami tragedy, from a general-purpose corpus of RSS feeds. In order to identify significant events, we automatically (1) selected a set of significant terms for each day; (2) built a set of (term–co-term) pairs and (3) clustered the pairs in an attempt to group contextually related terms. The clusters were assessed by 10 people, finding that the average percentage apparently representing significant events was 68.6%. Using these clusters, we generated overview timelines for three major events: the tsunami tragedy, the US election and bird flu. The results indicate that our approach is effective in identifying predominantly genuine events, but can only produce partial timelines.

Suggested Citation

  • Prabowo, Rudy & Thelwall, M. & Alexandrov, Mikhail, 2007. "Generating overview timelines for major events in an RSS corpus," Journal of Informetrics, Elsevier, vol. 1(2), pages 131-144.
    • Handle: RePEc:eee:infome:v:1:y:2007:i:2:p:131-144
    DOI: 10.1016/j.joi.2006.10.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S175115770600023X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2006.10.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mike Thelwall & Rudy Prabowo & Ruth Fairclough, 2006. "Are raw RSS feeds suitable for broad issue scanning? A science concern case study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(12), pages 1644-1654, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lambiotte, R. & Ausloos, M. & Thelwall, M., 2007. "Word statistics in Blogs and RSS feeds: Towards empirical universal evidence," Journal of Informetrics, Elsevier, vol. 1(4), pages 277-286.
    2. Prabowo, Rudy & Thelwall, Mike, 2008. "Finding and tracking subjects within an ongoing debate," Journal of Informetrics, Elsevier, vol. 2(2), pages 107-127.
    3. Fernando Ferri & Alessia D'Andrea & Patrizia Grifoni, 2017. "An Integrated Methodology for Approaching Sentiment Analysis in Business Domain," International Business Research, Canadian Center of Science and Education, vol. 10(9), pages 1-16, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:1:y:2007:i:2:p:131-144. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.