This article presents a digital, open-access, multilingual, annotated corpus of electoral programs. It complements the recent methodological innovations in (semi-) computerized content analysis by providing a large, standardized text corpus for the political science community. The corpus is...

QuantNet 1 is an integrated web-based environment consisting of different types of statistics-related documents and program codes. Its goal is creating reproducibility and offering a platform for sharing validated knowledge native to the social web. To increase the information retrieval (IR)...

We survey the textual sentiment literature, comparing and contrasting the various information sources, content analysis methods, and empirical models that have been used to date. We summarize the important and influential findings about how textual sentiment impacts on individual, firm-level and...

A growing body of research points to the importance of increasing parental engagement in their children's education. Yet, little research has investigated whether prompting parents to be more involved in the college process leads to improved student outcomes. We investigate, through a...

This paper presents our text mining classification framework, that we implemented and evaluated using aviation datasets. Our contribution through the proposed framework and the algorithms is to create predictive models to predict the category labels for a given text input with high...

Relative to quantitative methods traditionally used in accounting and finance, textual analysis is substantially less precise. Thus, understanding the art is of equal importance to understanding the science. In this survey we describe the nuances of the method and, as users of textual analysis,...

Web 2.0 provides gathering places for Internet users in blogs, forums, and chat rooms. These gathering places leave footprints in the form of colossal amounts of data regarding consumers' thoughts, beliefs, experiences, and even interactions. In this paper, we propose an approach for firms to...