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A sentiment analyzer using a deep learning model.

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SentiMoji 😊☹️

⭐ Star me on GitHub — it helps!

Maintenance Ask Me Anything ! License

Hi! 👋 welcome to SentiMoji!

This is a webapp that lets user enter a text and get back feedback in the form of emoji. The app show only two kinds of emotion - sad, when the text is negative and happy, when the text is positive!

Software stack

Python PyTorch Pandas NumPy Flask HTML5 CSS3

Dependencies

  • Python3
  • Pip

Note - This package was created and tested on a Ubuntu 18.04 machine. This shouldn't stop you from experimenting on your machine. It should work in most of the cases. If not, please feel free to raise an issue or reach out to me.

Installation

  1. Clone this repository.
$ git clone https://github.com/ioarun/sentimoji.git
  1. Install
$ cd sentimoji/
$ pip install -r requirements.txt

Usage

$ python main.py

Once you run the above command, you'll see the terminal/cmd showing the following message

 * Serving Flask app "main" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: on
 * Running on http://127.0.0.1:5000/ (Press CTRL C to quit)

As is displayed in the message, type in http://127.0.0.1:5000/ in your browser.

That's it! You'll see a web app same as shown below. Just type in any positive or negative remark like this movie is really bad or i think this is gonna be great! and see the magic unfold! 😉😂

drawing

License

License

Questions?

You can reach out to me at Gmail Badge

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A sentiment analyzer using a deep learning model.

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