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perfume

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This project explores the relationships between a perfume's fragrance notes and the subjective experience of their emergent accords using a variety of statistical methods including mutual information, principal component analysis, and multilabel classification.

  • Updated Jan 23, 2022

This repository contains datasets from our paper, Sentiment-Driven Community Detection in a Network of Perfume Preferences, analyzing perfume preferences based on positive user reviews from Atrafshan, including User Reviews and Perfume Attributes, Emoji Mapping Dictionary, and Sentiment Classification Results.

  • Updated Oct 28, 2024

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