Hille Pajupuu, Krista Kerge, Rene Altrov
Resumen de tlooto
The aim is to find out the prospects of automatic detection of emotion in any text by using a very small lexicon of about 600 frequent emotion words, which is analysed to detect their emotional colouring.
Resumen
Paragraphs of four genres are analysed to detect their emotional colouring, while a lexicon-based approach of linguistic analysis is weighed against reader opinion. The aim is to find out the prospects of automatic detection of emotion in any text by using a very small lexicon of about 600 frequent emotion words. DOI: http://dx.doi.org/10.5128/ERYa8.11
Formato de cita
PAJUPUU, Hille; KERGE, Krista; ALTROV, Rene. Lexicon-based detection of emotion in different types of texts: Preliminary remarks. Eesti Rakenduslingvistika Uhingu Aastaraamat, 2012, 8: 171–184.