Master Thesis: Natural Language Processing and Information Retrieval for Political Science (Nanni/Ponzetto)

Target: Master

Type: Survey

Short abstract: This thesis should provide an in-depth overview of the adoption of natural language processing and information retrieval approaches in political science research (for example, adoption of supervised classifiers in content analysis tasks, use of unsupervised approaches for political scaling studies). The thesis should explain in detail all prominent tasks, stressing the benefits and current limitations of NLP and IR solutions. A very successful thesis would also include the re-implementation of one of the solutions examined and application to a different dataset (e.g. re-implementation of Wordfish and political scaling of UK parliament debates).