In his introductory lecture and tutorial, Efstathios Stamatatos gives a broad overview of the research field of authorship analytics. This includes the tasks of authorship attribution and authorship verfication, background on stylometry, and the natural language processing basics required for feature engineering to represent the writing style of a text.
| Keynote. Authorship Attribution. [slides] | |
| Sep 22 | Session 1 |
| 09:00-10:00 | Delta - A measure of stylistic difference [slides] |
| Robert Paßmann | |
| 10:00-11:00 | N-gram-based author profiles for authorship attribution [slides] |
| Florian Friedrich | |
| 11:00-12:00 | Determining if two documents are written by the same author [slides] |
| Tolga Buz | |
| Sep 23 | Session 2 |
| 09:00-10:00 | Authorship attribution in the wild [slides] |
| Fabian Müller | |
| 10:00-11:00 | Unmasking pseudonymous authors [slides] |
| Sebastian Wilhelm | |
| 11:00-12:00 | Syntactic n-grams as machine learning features for natural language processing [slides] |
| Marvin Gülzow | |
| Sep 24 | Session 3 |
| 09:00-10:00 | Augmenting naive Bayes classifiers with statistical language models [slides] |
| Winfried Lötzsch | |
| 10:00-11:00 | Using compression-based language models for text categorization [slides] |
| Jakob Köhler | |
| 11:00-12:00 | Authorship attribution with author-aware topic models [slides] |
| Thomas Rometsch | |
| Sep 25 | Session 4 |
| 09:00-10:00 | Local histograms of character n-grams for authorship attribution [slides] |
| Michael Träger | |
| 10:00-11:00 | Mining e-mail content for author identification forensics [slides] |
| Fabian Duffhauß | |
| 11:00-12:00 | Language trees and zipping [slides] |
| Bernhard Reinke | |
| Sep 28 | Session 5 |
| 09:00-10:00 | Feature set subspaceing [slides] |
| Timo Sommer | |
| 10:00-11:00 | A repetition-based measure for verifification of text collections and for text categorization [slides] |
| Lucas Rettenmeier. | |
| 11:00-12:00 | Stopword graphs and authorship attribution in text corpora [slides] |
| Maike Müller | |
| Sep 29-Oct 2 | Hackathon |