Skip to content

Sentiment Analysis To your Collected Feedbacks Efficiently

Notifications You must be signed in to change notification settings

DhruvRaipure/Review-Bay

 
 

Repository files navigation

Making an Sentiment-Analyzer for SIH-2020

Organization :ISRO (Indian Space Research and Developement Organization) SIH is an university level hackathon organised by Govt. of India. Our team choose this problem statement,as we felt that this problem statement has a huge relevance as major websites and businness do not use an automated sentiment analyzer which is now the defunct thing.

Problem Statement :

Problem Statement

Output Expected :

  1. Classification of individual comments/reviews.
  2. Determining overall rating based on individual comments /reviews

The dataset used for this purpose is :

Dataset

The authors for this project are :

  1. DhruvRaipure
  2. unicorn-io
  3. smritisingh26
  4. ShamanthNyk
  5. nimesh
  6. sagnik-chatterjee

Contributions are welcome , please refer to contributing.md for contributing to this project.

Running the web-app

  • Clone the repository
  • To run the app make sure the requirements are installed.
pip install -r requirements.txt

We will be relocating to the directory and exporting the flask app.

cd ../
export FLASK_APP=Review-Bay  # GNU/LINUX
set FLASK_APP=Review-Bay # Windows

Now that we are set for development uses or contributions we might suggest to run the app in development environment.

set FLASK_ENV=development # Windows
export FLASK_ENV=development # GNU/LINUX

Finally we are all set to run this

flask run

The application can be accessed on your local host server.

About

Sentiment Analysis To your Collected Feedbacks Efficiently

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 42.5%
  • HTML 39.7%
  • CSS 15.3%
  • JavaScript 1.9%
  • Jupyter Notebook 0.6%