IME - Leveraging NLP to Analyze Customer Reviews Collected From SMS and Calls
mohamed-khamis
Partner, L2 Admin, L2 Designer, Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS ML Practitioner, Dataiku DSS Core Concepts, Snowflake Advanced, Dataiku DSS Adv Designer, Registered, Dataiku DSS Developer, Dataiku Frontrunner Awards 2021 Participant, Frontrunner 2022 Participant Posts: 13 Partner
Name: Mohamed AbdElAziz Khamis Omar
Title: Head of Data Science
Country: Egypt
Organization: IME
IME is a key market player in Data Management solutions. To learn more: www.infme.com
Awards Categories:
- Data Science for Good
- Moonshot Pioneer(s)
Business Challenge:
Arabic Sentiment Analysis to one of the Biggest banks in KSA.
Business Solution:
Using the built-in NLP features in Dataiku as well as Facebook word embeddings "wiki-news-300d-1M-subword.bin".
Business Area: Accounting/Finance
Use Case Stage: Proof of Concept
Value Generated:
Ability to analyze customer reviews collected from SMS and Calls with high AUC ROC = 0.881.
Value Brought by Dataiku:
Built-in Natural Language Processing and preparation.
Value Type:
- Reduce cost
- Reduce risk
- Save time