A Stuctural Approach to Authorship Attribution using Dependency Grammars
Victor Wennberg · 2012
Authorship attribution is an important problem, with many applications of practical use in the real-world. One principal constraint in dealing with this problem is related to the type of text being written, and for what purpose — its context. The context of a text has consequences on the stylistics of the resulting text. This thesis presents an approach to the problem attempting to avoid the implications of context by analyzing grammatical structures, in practice dependency structures derived by computerized parsing software. For classification, latent semantic indexing is employed. Results are presented in terms of a comparison, in terms of performance, with a similar approach based on phrasestructure trees. The corpus used in these experiments is a subset of the ICWSM2009 corpus, provided by the International Conference on Weblogs and Social Media. The subset contains only blog posts, and shows a