Good information drives great decisions, but it's hard to find everything you need in one place. We developed a solution where customer phone calls are analysed through Natural Language Processing. We processed the calls to extract out the following useful information:
- The taxonomy model for the domain.
- Converted audio files to textual transcripts.
- Detected and categorised them on the basics of nature of call and the emotion of the caller.
- Made a dashboard to show all the data along with graphs between various important parameters.
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Install npm
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Clone this repository
git clone https://github.com/gauravb12/eardrumsNITD.git
- Install the node dependencies
cd eardrumsNITD npm install
- To run in web browser run
nodemon app.js
- HTML,CSS and bootstrap
- D3.js for graphs
- Node.js and Express.js
- MongoDB
- Watson API for NLP