Estudo exploratório de categorias gramaticais com potencial de indicadores para a Análise de Sentimentos
Abstract
This paper reports on work in progress on grammatical categories that may be explored as indicators of emotion in written text. Unlike state-of-the-art research on sentiment analysis focused on lexical items, this study draws on systemic-functional grammar [Halliday Matthiessen 2014] in order to map patterns of choice in grammatical systems that can be linked to emotion construal in language. The methodology is based on manual annotation of news report text samples carried out on a spreadsheet with categories pertaining to the main grammatical systems at clause level in the rank scale. Frequency of annotated individual categories and category clusters is examined with a view to identifying the most productive categories to probe sentiment in text.
