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2018 | OriginalPaper | Buchkapitel

Large Scale Authorship Attribution of Online Reviews

verfasst von : Prasha Shrestha, Arjun Mukherjee, Thamar Solorio

Erschienen in: Computational Linguistics and Intelligent Text Processing

Verlag: Springer International Publishing

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Abstract

Traditional authorship attribution methods focus on the scenario of a limited number of authors writing long pieces of text. These methods are engineered to work on a small number of authors and generally do not scale well to a corpus of online reviews where the candidate set of authors is large. However, attribution of online reviews is important as they are replete with deception and spam. We evaluate a new large scale approach for predicting authorship via the task of verification on online reviews. Our evaluation considers a large number of possible candidate authors seen to date. Our results show that multiple verification models can be successfully combined to associate reviews with their correct author in more than 78% of the time. We propose that our approach can be used to slow down or deter the number of deceptive reviews in the wild.

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Vorheriges Kapitel Aspect Terms Extraction of Arabic Dialects for Opinion Mining Using Conditional Random Fields

Nächstes Kapitel Discovering Correspondence of Sentiment Words and Aspects

The datasets can be obtained at http://ritual.uh.edu/resources/.

Amazon Media Group: About Amazon Media Group. http://www.amazon.com/b?ie=UTF8&node=8445211011 (2015). Accessed 07 Feb 2016

The Yelp Blog: About. http://www.yelp.com/about (2015). Accessed 07 Feb 2016

Kešelj, V., Peng, F., Cercone, N., Thomas, C.: N-gram-based author profiles for authorship attribution. In: Proceedings of the Conference of Pacific Association for Computational Linguistics, PACLING, vol. 3, pp. 255–264 (2003)

Koppel, M., Schler, J.: Authorship verification as a one-class classification problem. In: Proceedings of the Twenty-First International Conference on Machine Learning, ICML 2004, p. 62. ACM, New York (2004)

Koppel, M., Winter, Y.: Determining if two documents are written by the same author. J. Assoc. Inf. Sci. Technol. 65, 178–187 (2014)CrossRef

Qian, T.Y., Liu, B., Li, Q., Si, J.: Review authorship attribution in a similarity space. J. Comput. Sci. Technol. 30, 200–213 (2015)CrossRef

Stamatatos, E.: A survey of modern authorship attribution methods. J. Am. Soc. Inf. Sci. Technol. 60, 538–556 (2009)CrossRef

Lappas, T.: Fake reviews: the malicious perspective. In: Bouma, G., Ittoo, A., Métais, E., Wortmann, H. (eds.) NLDB 2012. LNCS, vol. 7337, pp. 23–34. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31178-9_3 CrossRef

Jindal, N., Liu, B.: Opinion spam and analysis. In: Proceedings of the 2008 International Conference on Web Search and Data Mining, WSDM 2008, pp. 219–230. ACM, New York (2008)

10.

Mukherjee, A., Liu, B., Glance, N.: Spotting fake reviewer groups in consumer reviews. In: Proceedings of the 21st International Conference on World Wide Web, WWW 2012, pp. 191–200. ACM, New York (2012)

11.

Narayanan, A., Paskov, H., Gong, N., Bethencourt, J., Stefanov, E., Shin, E., Song, D.: On the feasibility of internet-scale author identification. In: 2012 IEEE Symposium on Security and Privacy (SP), pp. 300–314 (2012)

12.

Seroussi, Y., Zukerman, I., Bohnert, F.: Authorship attribution with topic models. Comput. Linguist. 40, 269–310 (2014)CrossRef

13.

Burrows, J.: Delta: a measure of stylistic difference and a guide to likely authorship. Literary Linguist. Comput. 17, 267–287 (2002)CrossRef

14.

Eder, M.: Does size matter? authorship attribution, small samples, big problem. Digit. Scholarsh. Humanit. 30, 167–182 (2015)CrossRef

15.

Stein, B., Lipka, N., Prettenhofer, P.: Intrinsic plagiarism analysis. Lang. Resour. Eval. 45, 63–82 (2011)CrossRef

16.

Guthrie, D., Guthrie, L., Allison, B., Wilks, Y.: Unsupervised anomaly detection. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence, IJCAI 2007, San Francisco, CA, USA, pp. 1624–1628. Morgan Kaufmann Publishers Inc. (2007)

17.

Flesch, R.: A new readability yardstick. J. Appl. Psychol. 32, 221–223 (1948)CrossRef

18.

Kincaid, J.P., Fishburne Jr., R.P., Rogers, R.L., Chissom, B.S.: Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel. Technical report (1975)

19.

Gunning, R.: The Technique of Clear Writing (1952)

20.

Meyer zu Eissen, S., Stein, B.: Genre classification of web pages. In: Biundo, S., Frühwirth, T., Palm, G. (eds.) KI 2004. LNCS (LNAI), vol. 3238, pp. 256–269. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-30221-6_20 CrossRef

Titel: Large Scale Authorship Attribution of Online Reviews
verfasst von: Prasha Shrestha
Arjun Mukherjee
Thamar Solorio
Verlag: Springer International Publishing
Buch: Computational Linguistics and Intelligent Text Processing
Print ISBN: 978-3-319-75486-4

Electronic ISBN: 978-3-319-75487-1

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75487-1_17

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