Fecha: 3 noviembre 2015
Ponente: Maite Taboada (Simon Fraser University, Vancouver, Canada)
Lugar de celebración: Sala J. Mira, ETSI Informática, UNED (mapa)
The study of evaluation, sentiment and subjectivity is a multidisciplinary enterprise, including sociology, psychology, linguistics and computer science. In computer science and computational linguistics, sentiment analysis or opinion mining focuses on extracting sentiment at two main levels of granularity: the document and the sentence. The first level aims to categorize documents globally as being positive or negative towards a given topic, whereas at the sentence level the goal is to determine sentiment locally, using words or phrases in the sentence. Extraction methods in both cases rely on a variety of approaches going from bag-of-words representations to more sophisticated models that address the complexity of language, and insights from linguistics, such as the role of negation, speculation and various context-dependent phenomena. In this talk, I focus on how more linguistically-informed representations can contribute to the analysis and extraction of evaluation, subjectivity and opinion in text. In particular, I discuss the role of discourse or coherence relations in the interpretation of sentiment.