Hackbright Project
Fetch - Helps you choose dog-friendly restaurants based on dog-friendliness and food quality ratings derived from natural language processing and sentiment analysis
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Notebooks | 262 | 9 months ago | 30 | apache-2.0 | Jupyter Notebook | |||||
| atoti notebooks gallery | ||||||||||
| Mgan | 35 | 5 years ago | 2 | mit | ||||||
| Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19) | ||||||||||
| Zomato | 18 | 4 years ago | mit | Jupyter Notebook | ||||||
| Zomato Restaurants Exploratory Data Analysis, Visualization and Prediction with Sentiment Analysis of Reviews and Recommendation System | ||||||||||
| Memnet_absa | 17 | 6 years ago | 1 | Python | ||||||
| Rnn Amazon Fine Food Reviews | 10 | 7 years ago | HTML | |||||||
| Amazon Fine Food Reviews Sentiment Analysis with Recurrent Neural Network | ||||||||||
| Amazon Fine Food Reviews | 8 | 6 years ago | Jupyter Notebook | |||||||
| Sentiment Analysis on Amazon Fine Food Reviews Data in Python | ||||||||||
| Latvian Twitter Eater Corpus | 6 | 2 years ago | mit | Shell | ||||||
| Contains the latvian tweet eater corpus. | ||||||||||
| Sentiment Classification Of Amazon Fine Food Reviews | 6 | 3 years ago | mit | Python | ||||||
| A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset. | ||||||||||
| Hackbright Project | 5 | a year ago | Python | |||||||
| Fetch - Helps you choose dog-friendly restaurants based on dog-friendliness and food quality ratings derived from natural language processing and sentiment analysis | ||||||||||
| Amazon Fine Food Reviews Analysis | 5 | 3 years ago | 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. | ||||||||||
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Fetch
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