Fecha: 18 de Junio de 2013
Ponente: Julio Villena (Daedalus)
Lugar de celebración: Salón de Actos, Facultad de Psicología, UNED
Reputation analysis, as the process of tracking, investigating and reporting an entity's actions and other entities' opinions about those actions, covers different aspects of linguistic technologies, including automatic text classification to detect the topic(s) of the content and sentiment analysis to determine the positive/neutral/negative polarity of the information. In addition, other aspects must be also considered in an in-depth analysis such as named entity detection and disambiguation (to assign the polarity at entity level), subjectivity detection (to differentiate between objective facts and subjective opinions), relevance ranking (to assign the impact of the text on the reputation based on its topic, polarity, involved entities, author...), reputation alert detection (early identification of important issues that may have a substantial impact on the reputation), text normalization (to better deal with short and noisy texts from social media), language identification, and others. In my talk I will present an overview of all these essential aspects that are required to carry out a reputation analysis that fulfils the current market demands, describe the variety of state-of-the-art approaches that have been proposed by different research groups, discuss their strong and weak points and compare the results achieved in different open evaluation forums.