In part 1 of this course, participants have learned how to use standard methods of Natural Language Processing (NLP) to support social science research through automatic content analysis. This second part of the course will contain a practical project as an extension of the first theoretical part. Over the course of this project, the participants will apply some of the techniques covered for answering a research question of their choice. The project will consist of four steps in which guidance is provided by the course instructors. In a first step, the participants will define the research problem and sketch a methodology for solving it that contains some text analysis elements. The following two steps consist of preprocessing and analyzing relevant textual resources. In the final step, the results of the text analysis will be used to provide an answer to the research question.
By the end of the course, students will be able to:
Grading will be based on:
Participants need to have attended the following IPSDS courses or have corresponding knowledge: