Sample dataset of 1001 Sephora products, extracted via Bright Data API, featuring essential data points for pricing optimization, product personalization, and market analysis.
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Updated
Dec 17, 2024
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sephora-dataset
Here are 3 public repositories matching this topic...
Sentiment analysis of The INKEY List skincare reviews from the Sephora dataset using BERT, zero-shot classification, and TF-IDF with logistic regression. This project classifies reviews into positive, negative, or neutral sentiments, offering insights into customer satisfaction.
sentiment-analysis text-classification pandas data-visualization python3 web-scraping data-analysis data-cleaning bert-model data-importing llm product-reviews-analysis sephora-dataset
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Updated
Nov 28, 2024 - Jupyter Notebook
Sentiment analysis of The INKEY List skincare reviews from the Sephora dataset using BERT, zero-shot classification, and TF-IDF with logistic regression. This project classifies reviews into positive, negative, or neutral sentiments, offering insights into customer satisfaction.
python data-science natural-language-processing sentiment-analysis text-classification pandas data-visualization logistic-regression tf-idf data-manipulation bert zero-shot-classification product-reviews-analysis sephora-dataset
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Updated
Nov 2, 2024 - Jupyter Notebook
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