AbhishekShrivastava / sentiment-and-emotion

AlchemyAPI's Sentiment Analysis and Emotion Analysis in one application.

Sentiment and Emotion Tracker using Natural Language Understanding

Sentiment and Emotion application detect sentiment and emotions from people's digital footprints (e.g., online reviews and social media text) with IBM Waston Technology. The application can reveal the overall emotion and sentiment patterns from a text of interest, including the changes and details of positive or negative sentiment and emotions of "anger", "disgust", "sadness", "fear" and "joy".

Give it a try! Click the button below to fork into IBM DevOps Services and deploy your own copy of this application on Bluemix.

Getting Started

1. Create a Bluemix Account

Sign up in Bluemix, or use an existing account. Watson Services in Beta are free to use.

2. Download and install the Cloud-foundry CLI tool

3. Edit the manifest.yml file and change the <application-name> to something unique.

applications:
- services:
- alchemy-service
name: <application-name>
command: node app.js
path: .
memory: 256M

The name you use will determinate your application url initially, e.g. <application-name>.mybluemix.net.

4. Connect to Bluemix in the command line tool

$ cf api https://api.ng.bluemix.net
$ cf login -u <your user ID>

5. Create the natural-language-understanding service in Bluemix

$ cf create-service natural-language-understanding free nlu-test

6. Push it live!

$ cf push

See the full Getting Started documentation for more details, including code snippets and references.

Running locally

The application uses Node.js and npm so you will have to download and install them as part of the steps below.

1. Copy the credentials from your alchemy-service service in Bluemix to credentials.js, you can see the credentials using:

$ cf env <application-name>

Example output:

System-Provided:
{
 "VCAP_SERVICES": {
  "natural-language-understanding": [
   {
    "credentials": {
     "password": "<password>",
     "url": "https://gateway.watsonplatform.net/natural-language-understanding/api",
     "username": "<username>"
    },
    "label": "natural-language-understanding",
    "name": "nlu-test",
    "plan": "free",
    "provider": null,
    "syslog_drain_url": null,
    "tags": [
     "watson",
     "ibm_created"
    ]
   }
  ]
 }
}

You need to copy username and password. Create a .env file in the root directory. You will update the .env with the information you retrieved in the previous step.

The .env file will look something like the following:

NATURAL_LANGUAGE_UNDERSTANDING_USERNAME=<username>
NATURAL_LANGUAGE_UNDERSTANDING_PASSWORD=<password>

2. Install [Node.js](http://nodejs.org/)
3. Go to the project folder in a terminal and run:
`npm install`
4. Start the application
5.  `node app.js`
6. Go to `http://localhost:3000`

## Troubleshooting

To troubleshoot your Bluemix app the main useful source of information are the logs, to see them, run:

```sh
$ cf logs <application-name> --recent

License

This sample code is licensed under Apache 2.0. Full license text is available in LICENSE.
This sample code uses d3 and jQuery, both distributed under MIT license.

Open Source @ IBM

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