期刊文献+

旅游资源监控系统的设计与实现

Design and Implementation of Tourism Resources Monitoring System(TRMS)
下载PDF
导出
摘要 论文介绍了一个将主题识别与情感分析相结合而实现的互联网旅游资源监控系统。系统根据旅游主题识别,动态监测互联网上的信息源,自动采集相关网站新闻信息,并对旅游主题资源进行情感分析。论文描述了旅游资源监控系统的体系结构、主要功能和关键技术,并给出了实验结果。 This paper introduces a topic tracking and emotion analysis combining internet tourism resources, realize the monitoring function. The system according to the travel topic tracking, dynamic monitoring of Internet information source, automatic acquisition related website news and information, and the tourism theme for sentiment analysis. This paper describes the tourism resource monitoring system architecture, main functions and key technologies, and gives the application of experimental results.
机构地区 北京工商大学
出处 《计算机与数字工程》 2013年第10期1570-1572,1578,共4页 Computer & Digital Engineering
关键词 主题识别 情感分析 中文信息处理 topic tracking, emotion analysis, chinese information processing
  • 相关文献

参考文献10

二级参考文献44

  • 1李凯,曹学会.专题追踪技术在新华社多媒体数据库的应用[J].中国传媒科技,2004(9):56-58. 被引量:3
  • 2莫倩,刘书家.主题新闻信息门户系统的设计与实现[J].计算机工程,2006,32(10):265-267. 被引量:5
  • 3黄萱青 吴立德.独立于语种的文本分类方法[M].,2000.37-43.
  • 4鲁松 白硕 等.文本中词语权重计算方法的改进[M].,2000.31-36.
  • 5卜东波.聚类/分类理论研究及其在大模型文本挖掘的应用:博士论文[M].,2000..
  • 6TURNEY P. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews [ C ]//Proc of the 40th Annual Meeting of the Association for Computational Linguistics. Philadelphia: Association for Computational Linguistics, 2002:417- 424.
  • 7SANTORINI B. Part-of-speech tagging guidelines for the Penn Treebank project[ M]. Pennsylvania: ACM Press, 1990.
  • 8PANG Bo, LEE L, VAITHYANATHAN S. Thumbs up? Sentiment classification using machine learning techniques [ C ]//Proc of EMNLP' 02. Philadelphia: Association for Computational Linguistics, 2002 : 79 - 86.
  • 9DAVE K, LAWRENCE S, PENNOCK D. Mining the peanut gallery: opinion extraction and sentiment classification of product reviews [ C]//Proc of the 12th Intl World Wide Web Conference. [ S. l. ] : ACM Press, 2003 : 519-528.
  • 10HU Min-qing, LIU Bing. Opinion feature extraction using class sequential rules[ C ]//Proc of the Spring Symposium on Computational Approaches to Analyzing Weblogs. Stanford:[ s. n. ] , 2006:11-21.

共引文献380

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部