dr. L. Gatti (Lorenzo)

Producing Affective Language

Content Selection, Message Formulation And Computational Modelling

This projects aims to investigate 1) how the emotional states of speakers influence the language they produce and 2) how the influence of emotion on language production can be modeled in computational tools for affective natural language generation. The experimental findings will feed into the development of a novel automatic news report generation tool that can adjust the message depending on the emotion it is intended to reflect (e.g., a report of the same match from the perspective of a losing team can be different from the report for the winning team). The application is developed with support from two parties from industry (Sanoma Media, in The Netherlands, and ARRIA, in the UK) that have expressed an interest in tools for the automatic generation of affective language.