Detecting users' anomalous emotion using social media for business intelligence.
Xiao SunChen ZhangGuoqiang LiDaniel SunFuji RenAlbert Y. ZomayaRajiv RanjanPublished in: J. Comput. Sci. (2018)
Keyphrases
- business intelligence
- social media
- end users
- big data
- data warehousing
- user generated content
- data warehouse
- business information
- knowledge discovery
- critical information
- decision support
- sql server
- decision making
- business intelligence systems
- data analysis
- anomaly detection
- social media sites
- data mining
- user interface
- social networks
- microsoft office
- social media data
- data sets
- predictive modeling
- case study
- business users
- user experience
- business processes
- object oriented
- machine learning
- strategic decisions
- data warehousing and business intelligence