| mandeep147/Amazon-Product-Recommender-System |
113 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html |
| aws-samples/amazon-rekognition-engagement-meter |
53 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit-0 |
JavaScript |
| The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting |
| MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data |
23 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project. |
| alaBay94/Sentiment-analysis-amazon-Products-Reviews |
20 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| NLP with NLTK for Sentiment analysis amazon Products Reviews |
| alvinthai/amazon_review_summarizer |
20 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
HTML |
| A product comparison tool for Amazon.com |
| jeremygrace/amazon-reviews |
17 |
|
0 |
0 |
over 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Sentiment Analysis & Topic Modeling with Amazon Reviews |
| XiaoYee/ACAN |
12 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Python |
| Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification |
| yanndupis/RNN-Amazon-Fine-Food-Reviews |
10 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
HTML |
| Amazon Fine Food Reviews Sentiment Analysis with Recurrent Neural Network |
| sukilau/amazon-sentiment-analysis |
9 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Sentiment analysis for Amazon product reviews using Word2Vec and LSTM |
| hoffman-prezioso-projects/Amazon_Review_Sentiment_Analysis |
8 |
|
0 |
0 |
over 10 years ago |
0 |
|
0 |
|
Python |
| Sentiment analysis using a corpus of 34.6 million Amazon reviews |
