Public Sector — Citizen Intent Classification for Enhanced Response Management

Overview

The primary purpose of this DAG is to classify citizen requests into various intents, facilitating improved processing and response management in the public sector. The workflow begins with the ingestion of data from multiple sources, including citizen inquiry logs, service request forms, and feedback surveys. These inputs are processed through a series of machine learning models designed to identify relevant categories of intent based on historical data and patterns. The processing steps includ

The primary purpose of this DAG is to classify citizen requests into various intents, facilitating improved processing and response management in the public sector. The workflow begins with the ingestion of data from multiple sources, including citizen inquiry logs, service request forms, and feedback surveys. These inputs are processed through a series of machine learning models designed to identify relevant categories of intent based on historical data and patterns. The processing steps include data cleansing, feature extraction, model training, intent classification, and result storage. Quality controls are implemented at each stage to ensure high accuracy, with key performance indicators (KPIs) such as classification accuracy rate and response time closely monitored. The outputs of this DAG are structured intent classifications stored in a request management system, allowing for streamlined handling of citizen inquiries. In the event of processing failures, notifications are sent to relevant teams for prompt resolution. This DAG not only enhances the efficiency of public service responses but also improves citizen satisfaction by ensuring that requests are accurately categorized and addressed in a timely manner.

Part of the Customer Personalization solution for the Public Sector industry.

Use cases

• Increases efficiency in handling citizen inquiries
• Reduces response times for public service requests
• Improves accuracy of intent recognition
• Enhances citizen satisfaction and trust in services
• Facilitates data-driven decision-making in public sector