Maximizing the Value of Textual Data
Precisely processing textual data with an extreme level of detail presents serious logistical challenges—especially in support of global projects with unique data needs.
Compared to multimedia data types like audio, images, and video, text data can appear deceptively simple to analyze. However, even the most routine textual content contains an incredible depth of information.
Working from even the simplest documents, we infer likely facts about the background and intent of the author. We glean insight not only into the substantive content of the written words, but also their underlying grammar, syntax, and organizational structure.