A1312
Title: HiTEc: Exploiting text data in applications
Authors: Ana Colubi - University of Giessen (Germany) [presenting]
Louisa Kontoghiorghes - Kings College London (United Kingdom)
Abstract: HiTEc is a COST Action integrating cutting-edge analytic developments involving innovative sources of information, such as text, functions, perceptions or imprecise data, in econometrics. Several applications within this topic will be discussed. As a meta-result and proof-of-concept, a text-based indicator of the success of a COST Action will be described. The indicator is based on topic modelling. Specifically, it uses Latent Dirichlet Allocation (LDA) as the primary tool. Additional properties and uses of the indicator will also be outlined.
