Phishing is the fraudulent attempt to obtain sensitive information by disguising oneself as a
trustworthy entity in digital communication. It is a type of cyber attack often successful …

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 …

We present LDAvis, a web-based interactive visualization of topics estimated using Latent
Dirichlet Allocation that is built using a combination of R and D3. Our visualization provides …

The huge collections of news content which have become available through digital
technologies both enable and warrant scientific inquiry, challenging journalism scholars to …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

Topic models aid analysis of text corpora by identifying latent topics based on co-occurring
words. Real-world deployments of topic models, however, often require intensive expert …

Statistical topic models can help analysts discover patterns in large text corpora by
identifying recurring sets of words and enabling exploration by topical concepts. However …

Managing large collections of documents is an important problem for many areas of science,
industry, and culture. Probabilistic topic modeling offers a promising solution. Topic …

Each day humans generate massive volumes of data in a variety of different forms (Lazer et
al., 2009). For example, digitized texts provide a rich source of political content through …

Topic modeling is a common tool for understanding large bodies of text, but is typically
provided as a “take it or leave it” proposition. Incorporating human knowledge in …