<p><span style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(102, 102, 102);display:inline !important;float:none;font-family:"ITC Franklin Gothic LT W01 Bk", Arial, sans-serif;font-size:15px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Application of unsupervised machine learning methods to the linguistic, cultural, and sociological analysis of long form textual sources. Students will engage with DH theory, history, and methods, as well as large digitized text libraries, structured data (relational databases, linked data, etc.), and programming language. Knowledge of Python and familiarity with probability theory required.</span></p>