Lorem ipsum dolor sit . Proin gravida nibh vel vealiquete sollicitudin, lorem quis bibendum auctonisilin sequat. Nam nec tellus a odio tincidunt auctor ornare.

Stay Connected & Follow us

What are you looking for?

Simply enter your keyword and we will help you find what you need.
PBT GroupSentiment Analysis using Open Source Technologies
Sentiment Analysis using Open Source Technologies​

The Company

A listed, well established financial services company, noted as a top employer in South Africa for three years running. The company provides short term insurance products with a footprint in several African countries.

The Business Challenge

Gauge the perception of the company using Open Source technology to extract information from unstructured data.

Implement a sentiment engine to structure and analyse text data from multiple sources within the company – to enable reduced policy cancellation, monitor business trends and improve on service delivery to all clients.

Identify areas of weakness and their cause within the company based on topic classification and sentiment modeling.

The Solution

Gauge the perception of the company using Open Source technology to extract information from unstructured data.

Implement a sentiment engine to structure and analyse text data from multiple sources within the company – to enable reduced policy cancellation, monitor business trends and improve on service delivery to all clients.

Identify areas of weakness and their cause within the company based on topic classification and sentiment modeling.

 

The Value Proposition

The software was free to use, was available with a multitude of open source libraries with research and machine learning capabilities.

The solution can be applied to any text-based data available to the company through various API’s, allowing them to analyse massive quantities of unstructured data normally thought to be inaccessible.

Technology

Python, QlikSense, DataStage, Microsoft EWS, Sybase IQ

Related Cases

No posts were found.

Top