Search Results for author: David Zarruk-Valencia

Found 2 papers, 0 papers with code

Proactive Detractor Detection Framework Based on Message-Wise Sentiment Analysis Over Customer Support Interactions

no code implementations8 Nov 2022 Juan Sebastián Salcedo Gallo, Jesús Solano, Javier Hernán García, David Zarruk-Valencia, Alejandro Correa-Bahnsen

In this work, we propose a framework relying solely on chat-based customer support (CS) interactions for predicting the recommendation decision of individual users.

Sentiment Analysis

Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection

no code implementations5 Nov 2021 Jaime D. Acevedo-Viloria, Sebastián Soriano Pérez, Jesus Solano, David Zarruk-Valencia, Fernando G. Paulin, Alejandro Correa-Bahnsen

In this paper, we review the effectiveness of a feature-level fusion of super-app customer information, mobile phone line data, and traditional credit risk variables for the early detection of identity theft credit card fraud.

Fraud Detection

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