Negation processing in Spanish and its application to sentiment analysis

  1. JIMÉNEZ ZAFRA, SALUD MARÍA
Supervised by:
  1. María Teresa Martín Valdivia Director
  2. Luis Alfonso Ureña López Co-director

Defence university: Universidad de Jaén

Fecha de defensa: 13 September 2019

Committee:
  1. Ruslan Mitkov Chair
  2. Miguel Ángel García Cumbreras Secretary
  3. Eugenio Martínez Cámara Committee member
Department:
  1. INFORMÁTICA

Type: Thesis

Teseo: 605174 DIALNET

Abstract

Natural Language Processing is the area of Artificial Intelligence that aims to develop computationally efficient mechanisms to facilitate communication between people and machines through natural language. To ensure that machines are capable of processing, understanding and generating human language, a wide range of linguistic phenomena must be taken into account, such as negation, irony or sarcasm, which are used to give words a different meaning. This doctoral thesis focuses on the study of negation, a complex linguistic phenomenon that we use in our daily communication. In contrast to most of the existing studies to date, it is carried out on Spanish texts, because i) it is the second language with most native speakers, ii) it is the third language most used on the Internet, and iii) there are no negation processing systems available on this language.