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- W3006029042 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." @default.
- W3006029042 created "2020-02-24" @default.
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- W3006029042 date "2020-02-01" @default.
- W3006029042 modified "2023-10-06" @default.
- W3006029042 title "Semantic Mining Approach Based On Learning of An Enhanced Semantic Model For Textual Business Intelligence" @default.
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- W3006029042 doi "https://doi.org/10.1109/octa49274.2020.9151656" @default.
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