منابع مشابه
Distractorless Authorship Verification
Authorship verification is the task of, given a document and a candidate author, determining whether or not the document was written by the candidate author. Traditional approaches to authorship verification have revolved around a “candidate author vs. everything else” approach. Thus, perhaps the most important aspect of performing authorship verification on a document is the development of an ...
متن کاملText Categorization for Authorship Verification
Abstract. One common version of the authorship attribution problem is that of authorship verification. We need to determine whether a given author, for whom we have a corpus of writing samples, is also the author of a given anonymous text. The set of alternate candidates is not limited to a given finite closed set. In this paper we show how usual text categorization methods can be adapted to so...
متن کاملAuthorship Verification with Compression Features
In the PAN 2013 Author Identification task, the problem was to verify whether a document was written by the same author as a small set of given reference documents. We approached the problem as a classification task for which the reference documents are from the target class. We further collected a set of documents for the non-target or outlier class. For this classification problem we prepared...
متن کاملAuthorship Verification, Average Similarity Analysis
Authorship analysis is an important task for different text applications, for example in the field of digital forensic text analysis. Hence, we propose an authorship analysis method that compares the average similarity of a text of unknown authorship with all the text of an author. Using this idea, a text that was not written by an author, would not exceed the average of similarity with known t...
متن کاملLinguistic Profiling for Authorship Recognition and Verification
A new technique is introduced, linguistic profiling, in which large numbers of counts of linguistic features are used as a text profile, which can then be compared to average profiles for groups of texts. The technique proves to be quite effective for authorship verification and recognition. The best parameter settings yield a False Accept Rate of 8.1% at a False Reject Rate equal to zero for t...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2020
ISSN: 0975-8887
DOI: 10.5120/ijca2020920692