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Adrian CHIFU

Our article entitled “Unsupervised and Supervised Methods to Estimate Temporal-Aware Contradictions in Online Course Reviews” has been published in a Special Issue of Mathematics (Natural Language Processing (NLP) and Machine Learning (ML)—Theory and Applications). Link: https://www.mdpi.com/2227-7390/10/5/809 Abstract: The analysis of user-generated content on the Internet has become increasingly popular for a wide variety of applications. […]

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05 May 2022

I’m happy to announce that our (with Ismail BADACHE and Sébastien FOURNIER) article entitled “Unsupervised and Supervised Methods to Estimate Temporal-Aware Contradictions in Online Course Reviews” has been selected to be featured in our university’s magazine (La Lettre d’AMU, number 98, april 2022). Many thanks to my colleagues for the work. Link to the magazine […]

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