Paper Info
Title
Big Data And Sentiment Analysis To Highlight Decision Behaviours: A Case Study For Student Population
Abstract
Starting from the assumption that the factors orienting University choice are heterogeneous and multidimensional, the study explores student's motivations in higher education. To this aim, a big data analysis has been performed through 'TalkWalker', a tool based on the algorithms developed in the context of Social Data Intelligence, which allows understanding the sentiment of a group of people regarding a specific theme. The data have been extracted by drawing on published posts from anywhere in the world over a 12-month period from many online sources. According to the findings, the main variable capable of influencing the choice of University is training offer, followed by physical structure, work opportunities, prestige, affordability, communication, organisation, environmental sustainability. The study establishes an innovative research agenda for further studies by proposing the elaboration of a systems and process-based view for higher education. However, it presents the limitation of the superficial investigation, determined by the analysis of a large amount of data. Therefore, for future research, it might be appropriate to apply a different technique to realise a comparison and to check whether the size of the considered sample and the depth of the analysis technique can affect the results and the consequent considerations.
Year
DOI
Venue
2018
10.1080/0144929X.2018.1502355
BEHAVIOUR & INFORMATION TECHNOLOGY
Keywords
Field
DocType
Choice of University, social search, big data analysis, sentiment analysis, wikification
Social group,Population,Sentiment analysis,Social search,Computer science,Knowledge management,Prestige,Big data,Higher education,Sustainability
Journal
Volume
Issue
ISSN
37
10-11
0144-929X
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Orlando Troisi1193.59
Mara Grimaldi200.34
Francesca Loia310.68
Gennaro Maione400.68