D eriving reliable and valid estimates of the policy positions of key actors is fundamental to the analysis of political competition. Various systematic methods have been used to do this, including surveys of voters, politicians, and political scientists, and the content analysis of policy documents. Each method has advantages and disadvantages but, for both theoretical and pragmatic reasons, p...

Anxiety has a special importance in politics since the emotion is tied to decision-making under uncertainty, a feature of democratic institutions. Yet, measuring specific emotions like anxiety in political settings remains a challenging task. The present study tackles this problem by making use of natural language processing (NLP) tools to detect anxiety in a corpus of digitized parliamentary d...

Meinungsanalyse auf politischen Textdaten hat im Bereich der Computerlinguistik in den letzten Jahren stets an Bedeutung gewonnen. Dabei werden politische Texte zumeist in voneinander diskrete Klassen unterteilt, wie zum Beispiel pro vs. contra oder links vs. rechts. In den Politikwissenschaften dagegen werden bei der Analyse von politischen Texten Positionen auf Skalen mit fließenden Werten ab...

Automatic content analysis is more and more becoming an accepted research method in social science. In political science researchers are using party manifestos and transcripts of political speeches to analyze the positions of different actors. Existing approaches are limited to a single dimension, in particular, they cannot distinguish between the positions with respect to a specific topic. In ...

treatment of offenders is a humanistic approach in reaction to crimes, which has different scientific models. in addition to the un emphasis on this approach, islamic texts are full of corrective patterns and guidelines. iranian legislator, clearly, in article 156 of iranian constitution adapted this approach. nevertheless study of rules and regulations shows the lack of appropriate usage of th...

Building a lattice-based taxonomy over a text corpus with formal concept analysis (FCA) methods requires preliminary text processing that would enable construction of a context. We consider several natural language processing methods aimed at automatic attribute acquisition from texts. In particular, we derive attributes of three types: frequent words, latent topics and named entities. Afterwar...

Various NLP applications require automatic discourse analysis of texts. For analysis of scientific and technical texts, we propose to use all typical lexical units organizing scientific discourse; we call them common scientific words and expressions, most of them are known as discourse markers. The paper discusses features of scientific discourse, as well as the variety of discourse markers spe...

Since Bennett, Draper, and Frith published a paper in this journal in 2000 considering the possible criminalisation of HIV transmission, an important legal development has taken place. February 2001 saw the first successful United Kingdom prosecution for the sexual transmission of disease for over a century, when Stephen Kelly was convicted in Glasgow of recklessly injuring his former girlfrien...