首页> 外文期刊>Middle East Journal of Management >Tourism, travel and tweets: algorithmic text analysis methodologies in tourism
【24h】

Tourism, travel and tweets: algorithmic text analysis methodologies in tourism

机译:旅游,旅行和推文:旅游中的算法文本分析方法

获取原文
获取原文并翻译 | 示例
           

摘要

Tourism and hospitality organisations depend on market knowledge to compete in innovation, product development, and customer relationship management. This paper shows that new forms of social media provide valuable and previously difficult to obtain real-time knowledge on tourist perceptions, concerns, and sentiment towards tourist destinations - both those already visited and those under consideration for a future visit. We show how analysis of comments from such social media as Twitter micro-blogs can be used to reveal potential and recent tourists motivations in the travel and hospitality industry in various locations.
机译:旅游和酒店业组织依靠市场知识来竞争创新,产品开发和客户关系管理。本文表明,新形式的社交媒体提供了有价值的,以前难以获得的关于游客对目的地的感知,关注和情感的实时知识,包括已访问者和正在考虑的访问者。我们将展示如何分析来自Twitter微博等社交媒体的评论,以揭示各个地区旅行和酒店业的潜在和近期游客动机。

著录项

  • 来源
    《Middle East Journal of Management》 |2013年第1期|81-99|共19页
  • 作者单位

    College of International Management, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, 874-8577, Japan;

    College of International Management, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, 874-8577, Japan Graduate School of Management, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, 874-8577, Japan;

    College of International Management, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, 874-8577, Japan Graduate School of Asia Pacific Studies, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu, 874-8577, Japan;

    Holger Crafoord Centre, Lund School of Economics and Management, Lund University, Tycho Brahes vaeg 1, Box 7080, SE-220 07 Lund, Sweden;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    social media; hospitality information management; text mining; market intelligence; sentiment mining;

    机译:社交媒体;酒店信息管理;文本挖掘;市场情报;情感挖掘;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号