Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Sentiment Analysis on Customer Reviews

This project analyzes customer reviews and classifies them as positive or negative using Natural Language Processing (NLP) techniques.

#Features

Processes and cleans raw review data

Uses machine learning models to predict sentiment

Provides clear classification: Positive or Negative

Can be extended for neutral sentiment or more detailed analysis

Tech Stack

Python for data processing and modeling

Pandas & NumPy for data handling

Scikit-learn (or any ML library you used) for model training

Matplotlib/Seaborn for visualization (if used)

Use Cases

Businesses can understand customer satisfaction

Helps in improving products and services based on feedback

About

"A sentiment analysis project that analyzes customer reviews to determine whether the feedback is positive or negative. Built using NLP techniques and machine learning models, it helps businesses gain insights into customer opinions and improve their products or services."

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages