scholarly journals Social Media Analytics as a Business Intelligence Practice:Current Landscape & Future Prospects

2014 ◽  
pp. 1-12 ◽  
Author(s):  
Umar Ruhi ◽  
Keyword(s):  
Social Media ◽  
Business Intelligence ◽  
Social Media Analytics ◽  
Future Prospects

Social media analytics and business intelligence research: A systematic review

2020 ◽  
Vol 57 (6) ◽  
pp. 102279
Author(s):  
Jaewoong Choi ◽  
Janghyeok Yoon ◽  
Jaemin Chung ◽  
Byoung-Youl Coh ◽  
Jae-Min Lee
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Business Intelligence ◽  
Social Media Analytics

Interaction Mining

2012 ◽  
pp. 688-709
Author(s):  
Vincenzo Pallotta ◽  
Lammert Vrieling ◽  
Rodolfo Delmonte
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Future Development ◽  
Business Intelligence ◽  
Relationship Management ◽  
Marketing Research ◽  
Customer Relationship ◽  
Unstructured Data ◽  
Social Media Analytics ◽  
Business Analytics

In this chapter we present the major challenges of a new trend in business analytics, namely Interaction Mining. With the proliferation of unstructured data as the result of people interacting with each other using digital networked devices, classical methods in text business analytics are no longer effective. We identified the causes of their failure as being related to the inadequacy of dealing with conversational data. We propose then to move from Text Mining towards Interaction Mining, and we make several cases for this transition in areas such as marketing research, social media analytics, and customer relationship management. We also propose a roadmap for the future development of Interaction Mining by challenging the current practices in business intelligence and information visualization.

Interaction Mining

2011 ◽  
pp. 122-146 ◽  
Author(s):  
Vincenzo Pallotta ◽  
Lammert Vrieling ◽  
Rodolfo Delmonte
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Future Development ◽  
Business Intelligence ◽  
Relationship Management ◽  
Marketing Research ◽  
Customer Relationship ◽  
Unstructured Data ◽  
Social Media Analytics ◽  
Business Analytics

In this chapter we present the major challenges of a new trend in business analytics, namely Interaction Mining. With the proliferation of unstructured data as the result of people interacting with each other using digital networked devices, classical methods in text business analytics are no longer effective. We identified the causes of their failure as being related to the inadequacy of dealing with conversational data. We propose then to move from Text Mining towards Interaction Mining, and we make several cases for this transition in areas such as marketing research, social media analytics, and customer relationship management. We also propose a roadmap for the future development of Interaction Mining by challenging the current practices in business intelligence and information visualization.

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