Political text scaling aims to linearly order parties and politicians across political dimensions (e.g., left-to-right ideology) based on textual content (e.g., politician speeches or party manifestos). Existing models scale texts based on relative word usage and cannot be used for cross-lingual analyses. Additionally, there is little quantitative evidence that the output of these models correl...

Scholars wanting to estimate substantive quantities of interest, for example policy positions, from political texts typically apply a coding scheme to discrete text units such as words or sentences. Scales of policy positions, for example a left-right scale of economic policy, are typically built from the relative frequencies of text units coded into different categories. In this paper we reexa...

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 ...

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...

political and social isolation of women in pre-islamic period and their blurred role in social and political life changed with the advent of islam. however, in the era of the caliphs, under the influence of jewish and christian cultural elements and the revival of certain pre-islamic arabian traditions, the page was turned and the situation is well reflected in historical texts and traditions. ...

How the review was carried out is briefly described. The review looks mainly at the literature published since year 2000, but does not exclude earlier publications. The sustainability of practices to limit erosion must be assessed not only in terms of the soil resource and the wider environment but must also take into account economical and socio-political factors. Soil degradation may be due t...