Skip to content

• Conducting Sentiment Analysis of customer feedback on food items through the use of Machine Learning techniques. • Built a sentiment Classifier using LSTM along with various embedding techniques to classify given feedback/review of the food item as negative, neutral or positive.

Notifications You must be signed in to change notification settings

nawaz-kmr/Amazon-Food-Reviews-Sentiment-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Amazon-Food-Reviews-Sentiment-Analysis

• Conducting Sentiment Analysis of customer feedback on food items through the use of Machine Learning techniques. • Built a sentiment Classifier using LSTM along with various embedding techniques to classify given feedback/review of the food item as negative, neutral or positive.

About

• Conducting Sentiment Analysis of customer feedback on food items through the use of Machine Learning techniques. • Built a sentiment Classifier using LSTM along with various embedding techniques to classify given feedback/review of the food item as negative, neutral or positive.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published