KeneanDita/Moods-and-Morsels
A Python NLP project comparing rule-based sentiment classification with VADER and transformer-based models from 🤗 Huggingface. This project analyzes Amazon customer reviews to evaluate sentiment classification performance across traditional and deep learning approaches.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 20, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/KeneanDita/Moods-and-Morsels"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
3inchtime/douban_sentiment_analysis
基于朴素贝叶斯实现的豆瓣影评情感分析
MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset...
Robin-WZQ/Text-sentiment-polarity-judgment
基于规则、基于朴素贝叶斯、基于逻辑回归进行文本情感极性分析判断（酒店评论语料）
sharmaroshan/Coursera-Reviews-Analysis
It is a Natural Language Processing Problem where we have to decide the sentiments of the users...
sharmaroshan/Employee-Reviews
This is Project which contains Data Visualization, EDA, Machine Learning Modelling for Checking...