Annotating Expressions of Engagement in online book reviews: A contrastive (English-Spanish) corpus study for computational processing
Year: 2011
Type: dissertation
Abstract: This dissertation studies the expression of Engagement and alternative points of view in English and Spanish online book reviews, following the Appraisal model designed by \nMartin and White (2005). The study has three main aims: 1) to test two main aspects of the linguistic category of Engagement empirically, namely the identification of span \nrealising Engagement and the classification of Engagement into different subtypes; 2) to extract relevant contrastive features of the use of Engagement in English and Spanish in \nonline book reviews; 3) to create a bilingual (comparable) machine-readable annotated corpus with Engagement features in English and Spanish which can serve as the training \ncorpus for machine learning algorithms and be offered to the scientific community for further research. Following standard methodologies in the field of Natural Language \nProcessing, two agreement studies are carried out, designed to measure inter-annotator agreement based on an initial set of 10 reviews. A larger set of 28 reviews (14 English, \n14 Spanish) is further annotated by one single human coder in order to extract relevant results on contrastive aspects and provide publicly-available machine-readable annotated \ntexts with Engagement categories. The findings reveal disagreement mainly on span length and the annotation of some specific categories, namely Pronounce and Counter. \nIn addition, differences regarding frequency in the use of Engagement types were found in both languages, although the expressions employed were formally similar. Finally, \nthe results of the annotation of the larger data set showed that more expressions than what was initially expected can be annotated context-independently, although regarding \nsome other expressions, register and collocations were seen to have a decisive influence on their interpretation of some expressions, in the same way that genre has on their \nfrequency of use, for resources aimed at emphasising reviewer’s personal opinion were more frequent than those who acknowledged and evaluated external sources. \n
Author: Natalia Mora
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W88124880
