scholarly journals TAG CLOUDS FOR SITUATED INTERACTION AND PLACE PROFILING

2011 ◽  
Keyword(s):  
Tag Clouds

scholarly journals Visualization of Uncertainty in Tag Clouds

2015 ◽  
pp. 127-132
Author(s):  
Nikos Platis ◽  
Manolis Wallace ◽  
Thanos Triantos
Keyword(s):  
Tag Clouds

scholarly journals Are tag clouds useful for navigation? A network-theoretic analysis

2011 ◽  
Vol 1 (1) ◽  
pp. 33 ◽  
Author(s):  
Denis Helic ◽  
Christoph Trattner ◽  
Markus Strohmaier ◽  
Keith Andrews
Keyword(s):  
Theoretic Analysis ◽  
Tag Clouds

Using Word Trees, Word Networks, and Tag Clouds to Provide Meaningful Insights

2014 ◽  
pp. 1536-1559
Author(s):  
Anil Bilgihan ◽  
Denver Severt ◽  
Jay Kandampully
Keyword(s):  
Service Performance ◽  
Tag Clouds ◽  
Use Of Data ◽  
Web Spider ◽  
Units Of Analysis ◽  
Mixed Use ◽  
Combined Use ◽  
Consumer Reports ◽  
Consumer Assessments ◽  
Corporate Consumer

The combined use of data mining techniques and qualitative consumer reports can provide meaningful insights into service performance and relevant decision making. In several case studies, the authors combine qualitative comments from an online hotel feedback website about popular travel destinations, as reported by business, pleasure, and mixed-use travelers. After extracting 1,893 useable customer comments, using a web spider application, the study software produced summaries of qualitative comments in the form of tag clouds, word networks, and word tree images. This technologically enabled analysis of consumer-reported information provides consumer researchers with more objective ratings of qualitative consumer assessments of their experience across various units of analysis, with several applications for corporate and operational management. Furthermore, several implications inform consumer researchers and corporate consumer research departments about effective ways to investigate and serve industry. This study also has several limitations that suggest routes for further research.

Structuring and Facilitating Online Learning through Learning/Course Management Systems

Data Mining ◽  
2013 ◽  
pp. 1358-1375
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Online Learning ◽  
Virtual Worlds ◽  
Information Assurance ◽  
Third Party ◽  
Management Systems ◽  
Course Management Systems ◽  
Course Management ◽  
Tag Clouds ◽  
Current Trends ◽  
E Learning

Online learning—whether it is human-facilitated or automated, hybrid/blended, asynchronopus or synchronous or mixed--often relies on learning/course management systems (L/CMSes). These systems have evolved in the past decade-and-a-half of popular use to integrate powerful tools, third-party software, Web 2.0 functionalities (blogs, wikis, virtual worlds, and tag clouds), and a growing set of capabilities (eportfolios, data management, back-end data mining, information assurance, and other elements). This chapter highlights learning/course management systems, their functionalities and structures (including some integrated technologies), their applied uses in adult e-learning, and extra-curricular applications. A concluding section explores future L/CMSes based on current trends.

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