Deep learning--based models have surpassed classical machine learning--based
approaches in various text classification tasks, including sentiment analysis, news …

When analyzing digital journalism content, journalism scholars are confronted with a
number of substantial differences compared to traditional journalistic content. The sheer …

Computational text analysis has become an exciting research field with many applications in
communication research. It can be a difficult method to apply, however, because it requires …

Untitled Page 1 Page 2 WHITE BACKLASH Page 3 Page 4 WHITE BACKLASH Immigration,
Race, and American Politics Marisa Abrajano & Zoltan L. Hajnal Princeton University Press …

Politics and political conflict often occur in the written and spoken word. Scholars have long
recognized this, but the massive costs of analyzing even moderately sized collections of …

Automated text analysis methods have made possible the classification of large corpora of
text by measures such as topic and tone. Here, we provide a guide to help researchers …

Advances in computer science and computational linguistics have yielded new, and faster,
computational approaches to structuring and analyzing textual data. These approaches …

A hands on guide to web scraping and text mining for both beginners and experienced
users of R Introduces fundamental concepts of the main architecture of the web and …

The Comparative Agendas Project (CAP) brings together data on government activities in
over twenty countries, and provides a consistent categorizing system to understand when a …

Cardiovascular disease (CVD) is the number one leading cause for human mortality.
Besides genetics and environmental factors, in recent years, gut microbiota has emerged as …