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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.
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https://hal-cnam.archives-ouvertes.fr/hal-02476620
Contributor : Hammou Fadili <>
Submitted on : Wednesday, February 12, 2020 - 6:06:43 PM
Last modification on : Friday, February 14, 2020 - 1:27:52 AM

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  • HAL Id : hal-02476620, version 1

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Hammou Fadili. Semantic Mining Approach Based On Learning of An Enhanced Semantic Model For Textual Business Intelligence. Information Systems and Economic Intelligence (SIIE), IEEE conference, Feb 2020, Tunis, Tunisia. ⟨hal-02476620⟩

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