Semantic Mining Approach Based On Learning of An Enhanced Semantic Model For Textual Business Intelligence
Abstract
This article presents the results obtained in applying an innovative approach to textual semantic analysis in the service of decision-making. Significant improvements have been made in the existing procedures of sentiment and recommendation analysis, and in opinion mining, to enable better-motivated decisions and benefit from big data. The results obtained show the interesting contribution of the approach to the specific field of business intelligence (BI) relative to user behaviors analysis.