| Grant number: | 16/14223-0 |
| Support Opportunities: | Regular Research Grants |
| Start date: | March 01, 2017 |
| End date: | February 28, 2019 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Ivandre Paraboni |
| Grantee: | Ivandre Paraboni |
| Host Institution: | Escola de Artes, Ciências e Humanidades (EACH). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| City of the host institution: | São Paulo |
Abstract
The computational treatment of personality traits (either to recognise these traits from text, or to generate text adapted to a particular set of traits), is central for the development of applications in Natural Language Processing (NLP) and related fields.Knowing the personality traits of an individual (for example, from his/her publications in social networks) enables a wide range of content personalisation strategies, from presenting a website so as to make it more attractive for a certain audience to generating more effective pieces of advertisement. Similarly, knowing how an individual with certain personality traits expresses him/herself in natural language allows the reproduction of this behaviour in Natural Language Generation (NLG) applications in order to model, e.g., realistic videogame characters, intelligent tutors etc.This document presents a research project in the NLP field that focusses on the treatment of personality traits from both natural language understanding and generation perspectives. Based on the well-known Big Five model of personality, the project proposes the collection and annotation of a basic linguistic-computational resource - which can be seen as a parallel corpus of texts and personality inventories - in order to map the relationships between personality traits and a broad range of linguistic phenomena, and then use this resource to build computational models of personality recognition from text, and models of text generation based on a particular personality. (AU)
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