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Automated Analysis of e-Participation Data by Utilizing Associative Networks, Spreading Activation and Unsupervised Learning

机译：通过使用关联网络，扩展激活和无监督学习来自动分析电子参与数据

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摘要

According to [1], the term e-participation is defined as "the use of information and communication technologies to broaden and deepen political participation by enabling citizens to connect with one another and with their elected representatives". This definition sounds quite simple and logical, but when considering the implementation of such a service in a real world scenario, it is obvious that it is not possible to evaluate messages, which are generated by thousands of citizens, by hand. Such documents need to be read and analyzed by experts with the required in-depth domain knowledge. In order to enable this analysis process and thereby to increase the number of possible c-particpation applications, we need to provide these experts with automated analysis tools that cluster, pre-screen and pre-evaluate public opinions and public contributions. In this paper we present a framework based on Machine Learning-(ML) and Artificial Intelligence-(AI) techniques that are capable of various analysis mechanisms such as unsupervised clustering of yet unread documents, searching for related concepts within documents and the description of relations between terms. To finish, we show how the proposed framework can be applied to real world data taken from the Austrian e-participation platform mitmachen.at.
机译：根据[1]，电子参与一词被定义为“使用信息和通信技术，通过使公民能够相互联系并与其当选代表建立联系，来扩大和加深政治参与”。这个定义听起来很简单且合乎逻辑，但是当考虑在现实世界中实现这种服务时，很明显，无法手动评估成千上万公民生成的消息。此类文档需要具有所需深入领域知识的专家阅读和分析。为了启用此分析过程，从而增加可能的c参与应用程序的数量，我们需要为这些专家提供自动分析工具，以对公众意见和公众贡献进行聚类，预筛选和预评估。在本文中，我们提出了一个基于机器学习（ML）和人工智能（AI）技术的框架，该框架能够进行各种分析机制，例如尚未阅读文档的无监督聚类，在文档中搜索相关概念以及关系描述条款之间。最后，我们将展示所提出的框架如何应用于来自奥地利电子参与平台mitmachen.at的现实世界数据。

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  • 来源
    《Electronic participation》|2009年|139-150|共12页
  • 会议地点 Linz(AT);Linz(AT)
  • 作者

    Peter Teufl; Udo Payer; Peter Parycck;

  • 作者单位

    Institute for Applied Information Processing and Communications -IAIK, Graz University of Technology;

    Institute for Applied Information Processing and Communications -IAIK, Graz University of Technology;

    Donau Univcrsitaet Krems;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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