Two-layered Blogger identification model integrating profile and instance-based methods

Knowledge and Information Systems

Volumn 31, Issue 1, 2012, Pages 1-21

  Mohtasseb, Haytham ^a   Ahmed, Amr ^a  

^a UNIVERSITY OF LINCOLN   (United Kingdom)

Author keywords

Authorship identification; Blog mining; Group extraction; Profile modeling; User representation

Indexed keywords

EID: 85027950863     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-011-0398-0     Document Type: Article

References (50)

1. Abbasi A, Chen H (2008) Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace. ACM Trans Inform syst 26(2): 1-29.
2. Argamon S, Koppel M, Pennebaker JW, Schler J (2009) Automatically profiling the author of an anonymous text. Commun ACM 52(2): 119-123.
3. Argamon S, Saric M, Stein SS (2003) Style mining of electronic messages for multiple authorship discrimination: First results. In: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, New York, pp 475-480.
4. Baker LD, McCallum AK (1998) Distributional clustering of words for text classification. In: Proceedings of the 21st annual international ACM SIGIR conference on research and development in information retrieval, ACM, pp 96-103.
5. Chan S, Pon RK, Cardenas AF (2006) Visualization and clustering of author social networks. In: Distributed multimedia systems conference, pp 174-180. http://www. cs. ucla. edu/~cardenas/cardenas2. html.
6. Dardick GS, Roche CRL, Flanigan MA (2007) Blogs: Anti-forensics and counter anti-forensics. In: Proceedings of the 5th Australian digital forensics conference, p 199.
7. de Vel O, Anderson A, Corney M, Mohay G (2001) Mining e-mail content for author identification forensics ACM. SIGMOD Rec 30(4): 55-64.
8. Diederich J, Kindermann J, Leopold E, Paass G (2003) Authorship attribution with support vector machines. Appl Intell 19(1): 109-123.
9. Feldman R, Sanger J (2007) The text mining handbook. Cambridge University Press, New York.
10. Forman G (2003) An extensive empirical study of feature selection metrics for text classification. J Mach Learn Res 3: 1289-1305.
11. Frantzeskou G, Stamatatos E, Gritzalis S, Katsikas S (2006) Effective identification of source code authors using byte-level information. In: Proceedings of the 28th international conference on Software engineering, ACM, p 896.
12. Gehrke GT, Reader S, Squire KM (2008) Authorship discovery in blogs using Bayesian classification with corrective scaling.
13. Gill A (2003) Personality and language: The projection and perception of personality in computer-mediated communication.
14. Gill AJ, French RM, Gergle D, Oberlander J (2008) The language of emotion in short blog texts. In: Proceedings of the ACM 2008 conference on computer supported cooperative work, ACM New York, pp 299-302.
15. Hancock JT, Gee K, Ciaccio K, Lin JMH (2008) I'm sad you're sad: emotional contagion in cmc, in 'Proceedings of the ACM 2008 conference on computer supported cooperative work', ACM New York, pp. 295-298.
16. Hancock JT, Landrigan C, Silver C (2007) Expressing emotion in text-based communication. In: Proceedings of the SIGCHI conference on human factors in computing systems, ACM New York, pp 929-932.
17. He Y, Hui SC, Fong ACM (2003) Citation-based retrieval for scholarly publications. IEEE Intell Syst 18(2): 58-65.
18. Holmes D, Forsyth R (1995) The Federalist revisited: new directions in authorship attribution. Lit Linguist Comput 10(2): 111.
19. Jing L, Ng MK, Huang JZ (2009) Knowledge-based vector space model for text clustering. Knowl Info Syst 25(1): 35-55.
20. Keselj V, Peng F, Cercone N, Thomas C (2003) N-gram-based author profiles for authorship attribution. In: Proceedings of the conference pacific association for computational linguistics, PACLING 3, Citeseer, pp 255-264.
21. Koppel M, Akiva N, Dagan I (2006) Feature instability as a criterion for selecting potential style markers. J Am Soc Info Sci Technol 57(11): 1519-1525.
22. Koppel M, Schler J (2003) Exploiting stylistic idiosyncrasies for authorship attribution. In: Proceedings of IJCAI'03 workshop on computational approaches to style analysis and synthesis, pp 69-72.
23. Koppel M, Schler J, Zigdon K (2005) Determining an author's native language by mining a text for errors. In: Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, ACM New York, pp 624-628.
24. Kyriakopoulou A, Kalamboukis T (2006) Text classification using clustering. In: The Discovery challenge workshop, Citeseer, p 28.
25. Li J, Zheng R, Chen H (2006) From fingerprint to writeprint. Commun ACM 49: 76-82.
26. Mairesse F, Walker MA, Mehl MR, Moore RK (2007) Using linguistic cues for the automatic recognition of personality in conversation and text. J Artif Intell Res 30: 457-500.
27. Matthews RAJ, Merriam TVN (1993) Neural computation in stylometry. In: An application to the works of shakespeare and fletcher. Lit Linguist Comput 8(4): 203.
28. Mishne GA (2007) Applied text analytics for blogs. Universiteit van, Amsterdam.
29. Mohtasseb H, Ahmed A (2009a) Mining online diaries for blogger identification. In: The 2009 International conference of data mining and knowledge engineering (ICDMKE'09).
30. Mohtasseb H, Ahmed A (2009b) More blogging features for author identification. In: The 2009 International conference on knowledge discovery (ICKD'09).
31. Mohtasseb H, Ahmed A (2010) The affects of demographics differentiations on authorship identification. Springer, Netherlands, pp 409-417.
32. Mosteller F, Wallace DL (1964) Inference and disputed authorship: the federalist. Addison-Wesley, Reading.
33. Narasimhamurthy A, Greene D, Hurley N, Cunningham P (2009) Partitioning large networks without breaking communities. Knowl Info Syst 25(2): 1-25.
34. Nowson S, Oberlander J (2006) The identity of bloggers: openness and gender in personal weblogs. In: Proceedings of the AAAI spring symposia on computational approaches to analyzing weblogs.
35. Peng F, Schuurmans D, Wang S (2004) Augmenting naive bayes classifiers with statistical language models. Info Retr 7(3): 317-345.
36. Pennebaker JW, Francis ME, Booth RJ (2001) Linguistic inquiry and word count: Liwc 2001. Lawrence Erlbaum Associates, Mahway.
37. Pennebaker JW, King LA (1999) Linguistic styles: Language use as an individual difference. J Pers Soc Psychol 77(6): 1296-1312.
38. Pfitzner D, Leibbrandt R, Powers D (2009) Characterization and evaluation of similarity measures for pairs of clusterings. Knowl Info Syst 19(3): 361-394.
39. Porter M.(n. d.) The porter stemming algorithm, Accessible at http://www. tartarus. org/martin/PorterStemmer.
40. Raskutti B, Ferra HL, Kowalczyk A (2002) Using unlabelled data for text classification through addition of cluster parameters. In: Proceedings of the nineteenth international conference on machine learning, Morgan Kaufmann, p 521.
41. Slonim N, Tishby N (2001) The power of word clusters for text classification. In: Proceedings of ECIR-01, 23rd European colloquium on information retrieval research, citeseer.
42. Stamatatos E (2009) A survey of modern authorship attribution methods. J Am Soc Info Sci Technol 60(3): 538-556.
43. Tishby N, Pereira FC, Bialek W (2000) The information bottleneck method. Arxiv preprint physics/0004057.
44. Uzuner O, Katz B (2005) A comparative study of language models for book and author recognition. Lect Notes Comput Sci 3651: 969.
45. Wan X (2008) Beyond topical similarity: a structural similarity measure for retrieving highly similar documents. Knowl Info Syst 15(1): 55-73.
46. Willard N, JD D (2005) Educator's guide to cyberbullying addressing the harm caused by online social cruelty. Accessible at http://cyberbullying. org 19, 2005.
47. Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques. Morgan Kaufmann, San Francisco.
48. Wu X, Kumar V, Quinlan JR, Ghosh J, Yang Q, Motoda H, McLachlan GJ, Ng A, Liu B, Yu PS (2008) Top 10 algorithms in data mining. Knowl Info Syst 14(1): 1-37.
49. Zhao Y, Zobel J (2005) Effective and scalable authorship attribution using function words. Lect Notes Comput Sci 3689: 174-189.
50. Zheng R, Li J, Chen H, Huang Z (2006) A framework for authorship identification of online messages: writing-style features and classification techniques. J Am Soc Info Sci Technol 57(3): 378-393.