https://github.com/seyha1007/amazon-reviews-analysis
🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.
https://github.com/seyha1007/amazon-reviews-analysis
acp amazon-reviews bert data-analytics glove jupyter-notebook lstm-sentiment-analysis machine-learning nltk random-forest scikit-learn sentiment-classification sentimental-analysis support-vector-machine
Last synced: 9 days ago
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🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.
- Host: GitHub
- URL: https://github.com/seyha1007/amazon-reviews-analysis
- Owner: Seyha1007
- License: mit
- Created: 2025-04-13T03:12:25.000Z (6 months ago)
- Default Branch: master
- Last Pushed: 2025-04-14T20:00:58.000Z (6 months ago)
- Last Synced: 2025-04-14T20:23:14.409Z (6 months ago)
- Topics: acp, amazon-reviews, bert, data-analytics, glove, jupyter-notebook, lstm-sentiment-analysis, machine-learning, nltk, random-forest, scikit-learn, sentiment-classification, sentimental-analysis, support-vector-machine
- Language: R
- Size: 193 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0