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GitHub / balajidass07 / Restaurent-Review-Prediction
In this project, I have build a ML model using NLTK package for predicting restaurant review is positive. or not. Here i have used a restaurant review dataset which contains 1000 review. There are three basic steps for this project, 1.cleaning the text 2.creating bag of words 3.ML model using classifier. Also here i have used 5 classification model :1.GaussenNB 2.Decision tree 3.Random Forest 4.KNN 5.Kernal SVM. Finally I have evaluated all models by Accuracy, Precision, Recall and F1 Score.
Stars: 0
Forks: 1
Open Issues: 0
License: gpl-3.0
Language: Python
Repo Size: 54.7 KB
Dependencies:
0
Created: about 4 years ago
Updated: 7 months ago
Last pushed: over 2 years ago
Last synced: 7 months ago
Topics: hacktoberfest, hacktoberfest-2021, hacktoberfest-accepted, hacktoberfest2021
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