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- W3136999344 abstract "This article presents the results obtained in applying an innovative and optimized 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 opinions mining, to enable better-motivated decisions and benefit from big data. These improvements concerned, especially, the support of the notions of aspects, attention and subjectivity to lighten the treatments, well (...)" @default.
- W3136999344 created "2021-03-29" @default.
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- W3136999344 date "2020-12-29" @default.
- W3136999344 modified "2023-10-12" @default.
- W3136999344 title "Optimized Sentiments analysis Approach, Based On Aspects, Attention and Subjectivity notions For Textual Business Intelligence" @default.
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