Sentiment analysis on Amazon Food Review

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:

Blog By:

Akshay Bhor: Deep learning Engineer

an Data Scientist




Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

A peculiar scientific link to study

Importance of Big Data for Economic Analysis Part 2

No Data Lineage? No Trust!

Drawing maps with custom shapes in Google Slides

Building a machine learning model to predict churn

A Primer for Confusion Matrices

Better call Spark: making a distributed recommendation engine

Best Tricks to Get you started on your Data Science Journey

Sharda University: Role of a Data scientist

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Akshay Bhor Data Scientist

Akshay Bhor Data Scientist

More from Medium

Diabetes Prediction Using Machine learning

What Does it Take to Make it Into the NBA Hall of Fame?

End to End Machine Learning with

In Machine Learning, what are datasets?