Results 241 to 250 of about 270,492 (286)
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2017
A new effective system for identification and verification of text authorship has been developed. The system is created on the basis of machine learning. The originality of the model is caused by a suggested unique profile of the author’s style features.
Oleksandr Marchenko +4 more
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A new effective system for identification and verification of text authorship has been developed. The system is created on the basis of machine learning. The originality of the model is caused by a suggested unique profile of the author’s style features.
Oleksandr Marchenko +4 more
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Authorship attribution in Arabic poetry
2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA), 2015In this paper, we present the Arabic poetry as an authorship attribution task. Several features such as Characters, Sentence length; Word length, Rhyme, and First word in sentence are used as input data for Markov Chain methods. The data is filtered by removing the punctuation and alphanumeric marks that were present in the original text.
Alfalahi Ahmed +3 more
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Computational methods in authorship attribution
Journal of the American Society for Information Science and Technology, 2008AbstractStatistical authorship attribution has a long history, culminating in the use of modern machine learning classification methods. Nevertheless, most of this work suffers from the limitation of assuming a small closed set of candidate authors and essentially unlimited training text for each.
Moshe Koppel +2 more
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Authorship attribution of Arabic tweets
2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016In tweet authentication, we are concerned with correctly attributing a tweet to its true author based on its textual content. The more general problem of authenticating long documents has been studied before and the most common approach relies on the intuitive idea that each author has a unique style that can be captured using stylometric features (SF).
Abdullateef Rabab'ah +3 more
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ACM Computing Surveys, 2019
Code authorship attribution is the process of identifying the author of a given code. With increasing numbers of malware and advanced mutation techniques, the authors of malware are creating a large number of malware variants. To better deal with this problem, methods for examining the authorship of malicious code are necessary.
Vaibhavi Kalgutkar +4 more
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Code authorship attribution is the process of identifying the author of a given code. With increasing numbers of malware and advanced mutation techniques, the authors of malware are creating a large number of malware variants. To better deal with this problem, methods for examining the authorship of malicious code are necessary.
Vaibhavi Kalgutkar +4 more
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Estimating the probability of an authorship attribution
Journal of the Association for Information Science and Technology, 2015In authorship attribution, various distance‐based metrics have been proposed to determine the most probable author of a disputed text. In this paradigm, a distance is computed between each author profile and the query text. These values are then employed only to rank the possible authors.
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Attributing authorship of revisioned content
Proceedings of the 22nd international conference on World Wide Web, 2013A considerable portion of web content, from wikis to collaboratively edited documents, to code posted online, is revisioned. We consider the problem of attributing authorship to such revisioned content, and we develop scalable attribution algorithms that can be applied to very large bodies of revisioned content, such as the English Wikipedia.
Luca de Alfaro, Michael Shavlovsky
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2002
Recent literary scholarship has seen a shift of interest away from questions of attribution. Yet these questions remain urgent and important for any historical study of writing, and have been given a powerful new impetus by advances in statistical studies of language and the coming on line of large databases of texts in machine-searchable form.
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Recent literary scholarship has seen a shift of interest away from questions of attribution. Yet these questions remain urgent and important for any historical study of writing, and have been given a powerful new impetus by advances in statistical studies of language and the coming on line of large databases of texts in machine-searchable form.
openaire +1 more source
Authorship Attribution of Android Apps
Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy, 2018Since the first computer virus hit the Advanced Research Projects Agency Network (ARPANET) in the early 1970s, the security community interest revolved around ways to expose the identities of malware writers. Knowledge of the adversarial identities promised additional leverage to security experts in their ongoing battle against those perpetrators.
Hugo Gonzalez +2 more
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Authorship Attribution Using Entropy
Journal of Quantitative Linguistics, 2013Abstract We propose a new methodology for testing the authorship of a relatively small work compared with the large body of an author’s cannon. Our approach is based on comparing the entropy of the two samples. The difficulty lies in the fact that known estimators of entropy tend to have a large bias even when the sample size is fairly large.
Michael Grabchak +2 more
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