Automatic Distinction of Fernando Pessoas' Heteronyms

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

João Teixeira (Author) FEUP; Couto, M (Author) Other

Conference proceedings International

Title: PROGRESS IN ARTIFICIAL INTELLIGENCE

Pages: 783-788

17th Portuguese Conference on Artificial Intelligence (EPIA)

Univ Coimbra, Coimbra, PORTUGAL, SEP 08-11, 2015

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Other information

Authenticus ID: P-00G-TJQ

DOI: 10.1007/978-3-319-23485-4_78

Abstract (EN): Text Mining has opened a vast array of possibilities concerning automatic information retrieval from large amounts of text documents. A variety of themes and types of documents can be easily analyzed. More complex features such as those used in Forensic Linguistics can gather deeper understanding from the documents, making possible performing difficult tasks such as author identification. In this work we explore the capabilities of simpler Text Mining approaches to author identification of unstructured documents, in particular the ability to distinguish poetic works from two of Fernando Pessoas' heteronyms: 'Alvaro de Campos and Ricardo Reis. Several processing options were tested and accuracies of 97% were reached, which encourage further developments.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6