Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation

Abstract

Corpus Viewer is a production service developed by the State Secretary for Digital Advancement (SEAD) within the framework of the National Language Technologies Plan (Plan TL), promoted by the same State Secretary. Corpus Viewer relies on Natural Language Processing (NLP), Machine Learning (ML) and Machine Translation (MT) to analyze structured metadata and unstructured textual data in large document corpora. The platform allows the decision maker and the policy implementer the possibility of analyze R&D&i information space (mainly patents, scientific publications and public aids) for evidence and knowledge-based policy making and implementation. In this paper, we describe the main functionalities of the platform and enumerate the techniques it is based on, which include a variety of methods like document topic modeling and graph analysis.