The advances in data digitization, and the fast growing amount of accessible data on the Internet provide digital humanists with ever-growing, gigantic databases to be analyzed. Even though databases are the programs and algorithms favorite format, they are very difficult for humans to navigate through. In response, a trend in digital humanities is to conceive computer programs capable of producing visual representations of the database contents, enabling access even to neophytes.
The transcription of data into a visual form happens in (at least) two steps: the data has to be treated in algorithms extracting, depending on its nature and the goal of the humanists, networks, topics, or any other mean of connecting and regrouping sets of data in coherent, larger groups. Then it has to be arranged in a visual structure, so to enable the user to easily navigate through the data, and recognize new patterns in it (knowledge discovery). I will discuss three abstracts on the subject from the 2015 annual international digital humanities conference.
In conclusion, we can affirm that the research about Big Data visual representations through topic modeling is trending amongst digital humanists, and that it is the logical response to the rapid increase in available, unsorted, digitalized data (Big Data), which is impossible for humans to analyze directly.
 Jähnichen P., Österling P., Tom Liebmann T., Heyer G., Kuras C., Scheuermann G. `Exploratory Search Through Interactive Visualization of Topic Models´ DH2015 Sydney
 Montague J., Simpson J., Rockwell G., Ruecker S., Brown S. `Exploring Large Datasets with Topic Model Visualizations´ DH2015 Sydney
 Kaufman M. `”Everything on Paper Will Be Used Against Me’: Quantifying Kissinger’´ DH2015 Sydney