Sub-Profiling by Linguistic Dimensions to Solve the Authorship Attribution Task
Upendra Sapkota, Thamar Solorio · CLEF (Online Working Notes/Labs/Workshop) · 2012
In this paper, we describe a modified version of the profile-based ap- proach for the Authorship Attribution (AA) task of the PAN 2012 challenge. Our PAN system for AA utilizes the concept of linguistic modalities 1 on profile-based (PB) approaches. We concatenate all the training documents from the same author and build author-specific sub-profiles, one per linguistic modality. Then instead of using all the different types of features to compute the similarity of a test doc- ument against an author's profile in a single step, we compute several similarity scores using one set of features (modality) at a time. Each modality will assign the test document to the author whose sub-profile has the highest cosine similarity in that modality. Final classification decisions are based on the combination of deci- sions from each modality using majority voting. We achieved competitive results on PAN 2012, with encouraging results on the closed-class authorship attribution.