Emotional Processes in Elaborating a Historical Trauma in the Daily Press

Twentieth century has witnessed several cases of mass traumatization when groups as wholes were ostracized even threated with annihilation. From the perspectives of identity trauma, when harms are afflicted to a group of people by other groups because of their categorical membership, ethnic and national traumas stand out. This paper aims to investigate long-term consequences of permanent traumatization on national identity with presenting a narrative social psychological study as a potential way of empirical exploration of the processes of collective traumatization and trauma elaboration. A Narrative Trauma Elaboration Model has been introduced which identifies linguistic markers of the elaboration process. Newspaper articles (word count = 203172) about a significant national trauma of the Hungarian history, Treaty of Trianon (1920), were chosen from a ninety year time span and emotional expressions of narratives were analysed with a narrative categorical content analytic tool (NarrCat). Longitudinal pattern of data show very weak emotional processing of the traumatic event. Results are discussed in terms of collective victimhood as core element of national identity and its effects on trauma elaboration

Design of a Controlled Language for Critical Infrastructures Protection

We describe a project for the construction of controlled language for critical infrastructures protection (CIP). This project originates from the need to coordinate and categorize the communications on CIP at the European level. These communications can be physically represented by official documents, reports on incidents, informal communications and plain e-mail. We explore the application of traditional library science tools for the construction of controlled languages in order to achieve our goal. Our starting point is an analogous work done during the sixties in the field of nuclear science known as the Euratom Thesaurus.JRC.G.6-Security technology assessmen

Multilingual sentiment analysis in social media.

252 p.This thesis addresses the task of analysing sentiment in messages coming from social media. The ultimate goal was to develop a Sentiment Analysis system for Basque. However, because of the socio-linguistic reality of the Basque language a tool providing only analysis for Basque would not be enough for a real world application. Thus, we set out to develop a multilingual system, including Basque, English, French and Spanish.The thesis addresses the following challenges to build such a system:- Analysing methods for creating Sentiment lexicons, suitable for less resourced languages.- Analysis of social media (specifically Twitter): Tweets pose several challenges in order to understand and extract opinions from such messages. Language identification and microtext normalization are addressed.- Research the state of the art in polarity classification, and develop a supervised classifier that is tested against well known social media benchmarks.- Develop a social media monitor capable of analysing sentiment with respect to specific events, products or organizations