Examining the existence of double jeopardy and negative double jeopardy within Twitter
作者: Andrew RogersKate L. DauntPeter MorganMalcolm Beynon
作者单位: 1Cardiff University , Cardiff, UK
2Cardiff Business School, Cardiff University , Cardiff, UK
刊名: European Journal of Marketing, 2017, Vol.51 (7/8), pp.1224-1247
来源数据库: Emerald Journal
DOI: 10.1108/EJM-03-2015-0126
关键词: ClusteringTwitterSentiment analysisFuzzy c-meansNegative double jeopardyOnline environment
原始语种摘要: Purpose(#br)The theory of double jeopardy (DJ) is shown to hold across broad ranging geographies and physical product categories. However, there is very little research appertaining to the subject within an online environment. In particular, studies that investigate the presence of DJ and the contrasting view point to DJ, namely, that of negative double jeopardy (NDJ), are lacking. This study aims to contribute to this identified research gap and examines the presence of DJ and NDJ within a product category, utilising data from Twitter. (#br)Design/methodology/approach(#br)A total of 354,676 tweets are scraped from Twitter and their sentiment analysed and allocated into positive, negative and no-opinion clusters using fuzzy c-means clustering. The sentiment is then compared to the market...
全文获取路径: Emerald 
分享到:

×
关键词翻译
关键词翻译
  • sentiment 感情
  • jeopardy 危险
  • within 在以内
  • market 市场
  • double 双重的
  • uncovered 无包装的
  • dealing 对待
  • research 
  • clustering 聚类
  • approach