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State of the art in knowledge extraction from online polls: a survey of current technologies

Published: 01 February 2016 Publication History

Abstract

The ongoing research and development in the field of Natural Language Processing has lead to a great number of technologies in its context. There have been major benefits when it comes to bringing together the worlds of natural language and semantic technologies, so more and more potential areas of application emerge. One of these is the subject of this paper, in particular the possible ways of knowledge extraction from single-question online polls.
With concepts of the Social Web, internet users want to contribute and express their opinion. As a consequence, the popularity of online polls is rapidly increasing; they can be found in news articles of media sites, on blogs etc. It would be desirable to bring intelligence to the application of polls by using technologies of the SemanticWeb and Natural Language Processing as this would allow to build a great knowledge base and to draw conclusions from it.
This paper surveys the current landscape of tools and state-of-the-art technologies and analyses them with regard to pre-defined requirements that need to be accomplished, in order to be useful for extracting knowledge from the results generated by online polls.

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      cover image ACM Other conferences
      ACSW '16: Proceedings of the Australasian Computer Science Week Multiconference
      February 2016
      654 pages
      ISBN:9781450340427
      DOI:10.1145/2843043
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      Published: 01 February 2016

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      Author Tags

      1. information extraction
      2. named entity recognition
      3. online polls
      4. semantic technologies

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      • Data to Decisions Cooperative Research Centre

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      ACSW '16
      ACSW '16: Australasian Computer Science Week
      February 1 - 5, 2016
      Canberra, Australia

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      ACSW '16 Paper Acceptance Rate 77 of 172 submissions, 45%;
      Overall Acceptance Rate 204 of 424 submissions, 48%

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      View all
      • (2019)The Effects of Privacy Awareness and Content Sensitivity on User EngagementHCI in Business, Government and Organizations. Information Systems and Analytics10.1007/978-3-030-22338-0_20(242-255)Online publication date: 14-Jun-2019
      • (2018)The Impact of UI on Privacy AwarenessHCI in Business, Government, and Organizations10.1007/978-3-319-91716-0_41(513-525)Online publication date: 5-Jun-2018
      • (2017)Towards customised visualisation of ontologiesProceedings of the Australasian Computer Science Week Multiconference10.1145/3014812.3014839(1-10)Online publication date: 30-Jan-2017
      • (2016)Converting Opinion into KnowledgeHCI in Business, Government, and Organizations: eCommerce and Innovation10.1007/978-3-319-39396-4_30(330-340)Online publication date: 22-Jun-2016

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