Skip to content

AI Based Review-Feedback Analyzer which aims to eliminate time waste of customers while reading reviews.

Notifications You must be signed in to change notification settings

imverma/Amazon-Review-Summarization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Analytics on Amazon Reviews

Web demo

Run

Set up the a Python virtual environment and install required packages

cd scripts
python3 -m venv .
source bin/activate
pip3 install -r requirements.txt
python3 -m spacy download en

Optionally, install a ipynb kernel to use the venv packages

pip3 install --user ipykernel
python -m ipykernel install --user --name=myenv
# Check the installed kernels
jupyter kernelspec list
# Run Jupyter
jupyter lab

Now, to run the full pipeline:

python3 main.py

A Flask application exposes a simple API (on port 5000) allowing the trained models to be used on demand via simple HTTP requests (in main.py). The VueJS application needs a recent version of NodeJS and npm.

cd webapp
npm install
# serve the web application with hot reload at localhost:8080/reviews-sentiment
npm run serve
# builds the web application for production
npm run build
# deploys the build on the master branch, making github serve it on https://avivace.github.io/reviews-sentiment
npm run deploy

About

AI Based Review-Feedback Analyzer which aims to eliminate time waste of customers while reading reviews.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published