I find an data of amazon food reviews on kaggle …
Data was in raw format ,contains HTML tag and other unnecessary things,first we clean data using functions….
Then,done EDA to visualize the spread of class,as it is two class classification problem….Positive review and Negative review….
Then ,step by step we perform an various algorithm namely KNN,Naive Bayes,Logistic Regression,Decision Tree,GBDT,Random Forest,SVM etc..
find an best model by observing accuracy…
The GitHub link for the amazon Fine Food Reviews Sentiment Analysis is:
Akshay Bhor: Deep learning Engineer
an Data Scientist