Sentilysis - Sentiment Analysis of Audio Files

This project is built on a basic file upload example in django wrapped with HPE's Haven on Demand APIs to analyse the sentiment of an audio file and get the positive/negative score of the same.

Project contains source code that was made originally for the Django file upload example at StackOverflow.

Goal of this project is to be able to convert audio to text and also analyse the sentiment of the audio i.e., if it is a positive one or a negative one or both.

Platforms Used

• Django 1.8
• HPE's Haven on Demand APIs - http://havenondemand.com
  1. Speech Recognition: https://dev.havenondemand.com/apis/recognizespeech
  2. Sentiment Analysis: https://dev.havenondemand.com/apis/analyzesentiment

Installation and Usage

Download the project or clone it into any folder of your choice.

Login to Haven on Demand and get your APIkey.

Enter your APIkey in "views.py" file. (path: ../src/for_django_1-8/myproject/myproject/myapp/views.py)

Then from terminal/command prompt navigate to myproject folder.

$ cd ../src/for_django_1-8/myproject

Then run the following command to collect static files.

$ python manage.py collectstatic

The run the following command to start the app

$ python manage.py runserver   

Navigate to http://localhost:8000/myapp/list and test it out.

Developers

• Vamshi B.
• Sushmitha T.
• Harichandana Y.