Text Categorization for Internet Content Filtering

IF 3.7 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence Pub Date : 2004-04-01 DOI:10.4114/IA.V8I22.812
M. D. Buenaga
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引用次数: 3

Abstract

Text Filtering is one of the most challenging and useful tasks in the Multilingual Information Access eld. In a number of ltering applications, Automated Text Categorization of documents plays a key role. In this paper, we present two of that applications (Hermes and POESIA), focused on personalized news delivery and Internet inappropriate content blocking, respectively. We are specically concerned with the role of Automated Text Categorization in these applications, and how the task is approached in a multilingual environment. Apart from the details of the methods employed in our work, we envisage new solutions for a more complex task we have called Cross-Lingual Text Categorization.
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互联网内容过滤的文本分类
文本过滤是多语言信息获取领域中最具挑战性和最有用的任务之一。在许多过滤应用程序中,文档的自动文本分类起着关键作用。在本文中,我们介绍了其中两个应用程序(Hermes和POESIA),分别专注于个性化新闻传递和互联网不当内容拦截。我们特别关注自动文本分类在这些应用程序中的作用,以及如何在多语言环境中处理该任务。除了我们工作中使用的方法的细节之外,我们还设想了一个更复杂的任务的新解决方案,我们称之为跨语言文本分类。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
15
审稿时长
8 weeks
期刊介绍: Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.
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