Unlike other multimedia data types such as audio, images, and video, text data can appear deceptively simple to analyze. However, even the most routine textual content may contain an incredible depth of information. Extracting this data accurately, consistently, and efficiently requires a team of highly trained analysts armed with a proven workflow for collecting and analyzing vast amount of text.
Data annotation experts at MEXRY are masters at smartly utilizing custom in-house tools powered by machine-learning automation. Though processing textual data brings in some serious logistical challenges – especially in case of global projects with unique data needs, but our experience allows us to overcome all kind of hardships and provide high-quality training data sets tailored to client-defined project goals. When annotating your datasets, our prime focus is on key areas that can make it quicker and easier for a machine to understand, index and store the text in a database for later use.
We not only scrutinize the substantive content of the written words, but also their underlying grammar, syntax, and organizational structure.