Posters Galore: 'BT Order Journey Data'

Mahsa Abazari Kia
University of Essex

Many companies such as BT have a significant workforce of field engineers, desk-based agents and customer support services who collect and manage large volumes of unstructured and semi-structured information.

Common to this information is that it usually comes as free-form text that is difficult to access.

The goal of the project is to unravel this unstructured information and to create business value by the automated extraction and summarization of information.

We develop novel methods for automated text analyses and summarization using modern Deep Learning techniques. We extract relevant entities and events from the text and contextualize this information into human-readable summaries.

This will enable us to exploit the information for new services of BT.

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