This course will train students in applied methods for computationally analyzing texts for humanities research. The skills students will gain will include basic programming for textual analysis, applied statistical evaluation of results and the ability to present these results within a formal research paper or presentation. Students in the course will also learn the prerequisite steps of such an analysis including corpus selection and cleaning, metadata collection, and selecting and creating an appropriate visualization for the results. This class is enrollment by permission only. To request a spot in the class, please fill out the survey: https://forms.gle/S1CqZn8XcLrc5vb66
5 units · Letter (ABCD/NP)
This course will train students in applied methods for computationally analyzing texts for humanities research. The skills students will gain will include basic programming for textual analysis, applied statistical evaluation of results and the ability to present these results within a formal research paper or presentation. Students in the course will also learn the prerequisite steps of such an analysis including corpus selection and cleaning, metadata collection, and selecting and creating an appropriate visualization for the results. This class is enrollment by permission only. To request a spot in the class, please fill out the survey: https://forms.gle/S1CqZn8XcLrc5vb66