VanCoconut/Customer-Satisfaction
A marketing analytics pipeline using Large Language Models (LLMs) to transform unstructured consumer feedback into actionable insights—featuring product relevance filtering, multi-topic sentiment analysis, overall sentiment scoring, and star rating prediction on Lavazza product reviews.
No commits in the last 6 months.
Stars
—
Forks
—
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jul 08, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/VanCoconut/Customer-Satisfaction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kenhktsui/anyclassifier
One Line To Build Zero-Data Classifiers in Minutes
palewire/first-llm-classifier
Learn how journalists use large-language models to organize and analyze massive datasets
robert-mcdermott/LLM-Image-Classification
Image Classification Testing with LLMs
AnasMohammad4321/BERT-Pytorch
Comprehensive BERT model training and visualization, detailing pre-training, fine-tuning, and...
Mahesh3394/clinical_text_classification
Text classification with fine tuned LLM model. Bert model fine tuned on created dataset.