GNCLAug 12, 2019

Wasserstein Index Generation Model: Automatic Generation of Time-series Index with Application to Economic Policy Uncertainty

arXiv:1908.04369v49 citations
AI Analysis

This method addresses the need for automated sentiment index generation in economics, though it appears incremental as it builds on existing index generation techniques.

The authors tackled the problem of automatically generating public sentiment indices by proposing the Wasserstein Index Generation model (WIG), and demonstrated its effectiveness by applying it to create an Economic Policy Uncertainty index.

I propose a novel method, the Wasserstein Index Generation model (WIG), to generate a public sentiment index automatically. To test the model`s effectiveness, an application to generate Economic Policy Uncertainty (EPU) index is showcased.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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