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Implemented a model that is capable of predicting a restaurant rating taking into account several factors such as reviews and restaurant facilities. Analysis of review is done based on NLP techniques that include polarity analysis, TF-IDF which are all followed by pre-processing.

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VatsalSoni301/Restaurant_Rating_Prediction

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Web API Zomato
Web API Zomato
 
 
Project Proposal.pdf
Project Proposal.pdf
 
 
Project_Mid.pdf
Project_Mid.pdf
 
 
README.md
README.md
 
 
Restaurant Rating Prediction.pdf
Restaurant Rating Prediction.pdf
 
 
Zomato.ipynb
Zomato.ipynb
 
 
dataset
dataset
 
 
json_to_csv.py
json_to_csv.py
 
 
presentation.txt
presentation.txt
 
 
stopword update,freqvector,pipline on one,More algo analaysis on updated data.ipynb
stopword update,freqvector,pipline on one,More algo analaysis on updated data.ipynb
 
 
zomato_implementation.zip
zomato_implementation.zip
 
 
zomato_merge_data.ipynb
zomato_merge_data.ipynb
 
 

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Restaurant_Rating_Prediction

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Implemented a model that is capable of predicting a restaurant rating taking into account several factors such as reviews and restaurant facilities. Analysis of review is done based on NLP techniques that include polarity analysis, TF-IDF which are all followed by pre-processing.

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nlp machine-learning sentiment-analysis jupyter-notebook python3 classification data-preprocessing yelp-dataset zomato-api rating-prediction

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