UNDP Accelerator Labs (2023) Report (multilateral / development partner)

Text Mining Performance Evaluation — Innovation Toolkit for UNDP Signature Solutions

UNDP Accelerator Labs

Ref: SRC-001-MEX-001

https://undp-accelerator-labs.github.io/Innovation-Toolkit-for-UNDP-Signature-Solutions/6.Governance/6.8%20TextMiningPerformance.html

Accessed: 3/23/2026

Summary

Detailed toolkit entry describing the Mexico text-mining project: team composition, methodology, cost (under USD 100,000), timeline (minimum six months), focal point (Luis Fernando Cervantes), and technical approach using ML/NLP algorithms to analyse civil servant justifications for unmet performance targets.

View Harvard reference

UNDP Innovation Toolkit (2023) 'Text Mining Performance Evaluation', UNDP Accelerator Labs Innovation Toolkit for Signature Solutions, Governance Chapter 6.8. Available at: https://undp-accelerator-labs.github.io/Innovation-Toolkit-for-UNDP-Signature-Solutions/6.Governance/6.8%20TextMiningPerformance.html (Accessed: 23 March 2026).

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Linked Cases (1)

MEX-001 MEX Pilot / Controlled Trial Phase

NLP Text-Mining of Performance Evaluation Justifications (Mexico Performance Evaluation System)

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