Network visualization of customer expectation using Web in coffee service

Visualising Business Data: A Survey

“…The secondary classification used in the survey is shown in Table 1. Aigner [25] Broeksema et al [71] Bai et al [49] Lafon et al [26] Ferreira et al [54] Basole et al [58] Hao et al [42] 2014 Nicholas et al [50] Basole [76] Deligiannidis and Noyes [59] Basole and Bellamy [77] Lu et al [35] Shi et al [36] Rodden [84] Yaeli et al [21] Saitoh [43] 2015 Keahey [29] Basole et al [60] Dou et al [32] Kameoka et al [66] Nair et al [85] 2016 Roberts et al [51] Liu et al [81] Iyer and Basole [61] Basole et al [31] Wu et al [67] Nagaoka et al [22] Sijtsma et al [37] 2017 Ghooshchi et al [72] Kumar and Belwal [52] Bachhofner et al [73] Ramesh et al [34] Schotter et al [62] Kang et al [69] Fayoumi et al [44] 2018 Lea et al [74] Roberts et al [53] Basole et al [63] Sathiyanarayanan et al [68] Haleem et al [45] Saga and Yagi [46] Primary Data as Intentional, Active Digital Collection (CB): The following research conveys geo-location data collected through hardware that is used to track customer be...…”

“…Feature-based sentiment visualisation was developed for customer feedback streams [197] and forms the basis of Hao et al's research. Saga and Yagi researched network visualisation of customer expectation through use of a web crawler that collects feedback data from the search engine Bing [46]. The results are automatically collated into an expectation network which presents words from the feedback as nodes in the network and the connecting edges represent the relationships between the words.…”