This article presents a new method of reconstructing actors’ political positions from coded political texts. It is based on a model that combines a dynamic perspective on actors’ political positions with a probabilistic account of how these positions are translated into emphases of policy topics in political texts. In the article it is shown how model parameters can be estimated based on a maxi...

This essay considers the phenomenon of public Jewish biblical quotation, such as, for instance, “justice, justice shall you pursue,” in times contemporary political crisis. I argue that these references tend to employ a sanitized and selective hermeneutics which overlooks bypasses violent or otherwise “difficult” themes works suggest there is parallel between our refusal come terms with frequen...

Abstract We introduce and assess the use of supervised learning in cross-domain topic classification. In this approach, an algorithm learns to classify topics a labeled source corpus then extrapolates unlabeled target from another domain. The ability existing training data makes method significantly more efficient than within-domain learning. It also has three advantages over unsupervised model...

political and social isolation of women in pre-islamic period and their blurred role in social and political life was 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 traditio...

Identifying individual’s political ideology from their speeches and written texts is important for analyzing political opinions and user behavior on social media. Traditional opinion mining methods rely on bag-of-words representations to classify texts into different ideology categories. Such methods are too coarse for understanding political ideologies. The key to identify different ideologies...