| atoti/notebooks |
262 |
|
0 |
0 |
over 2 years ago |
0 |
|
30 |
apache-2.0 |
Jupyter Notebook |
| atoti notebooks gallery |
| hsqmlzno1/MGAN |
35 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
mit |
|
| Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19) |
| chiragsamal/Zomato |
18 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Zomato Restaurants Exploratory Data Analysis, Visualization and Prediction with Sentiment Analysis of Reviews and Recommendation System |
| Humanity123/MemNet_ABSA |
17 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
|
Python |
| 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 |
| Architectshwet/Amazon-Fine-Food-Reviews |
8 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Sentiment Analysis on Amazon Fine Food Reviews Data in Python |
| Usprogis/Latvian-Twitter-Eater-Corpus |
6 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Shell |
| Contains the latvian tweet eater corpus. |
| ngoquanghuy99/Sentiment-classification-of-Amazon-fine-food-reviews |
6 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset. |
| mrc03/Amazon-Fine-Food-Reviews-Analysis |
5 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| The famous Amazon fine food reviews dataset on Kaggle for text classification. I have performed sentiment analysis on the dataset using different techniques. Please see readme for details. |
| florenceloi/hackbright-project |
5 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
|
Python |
| Fetch - Helps you choose dog-friendly restaurants based on dog-friendliness and food quality ratings derived from natural language processing and sentiment analysis |
