NDLI: Authorship attribution of web forum posts

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Authorship attribution of web forum posts

Content Provider	IEEE Xplore Digital Library
Author	Pillay, S.R. Solorio, T.
Copyright Year	2010
Description	Author affiliation: Department of Computer and Information Sciences at the University of Alabama at Birmingham, 1300 University Boulevard, 139 Campbell Hall, 35294 USA (Pillay, S.R.; Solorio, T.)
Abstract	Extracting useful information from user generated text on the web is an important ongoing research in natural language processing, machine learning, and data mining. Online tools like emails, news groups, blogs, and web forums provide an effective communication platform for millions of users around the globe and also provide an added advantage of anonymity. Millions of people post information on different web forums daily. The possibility of exchanging sensitive information between anonymous users on these web forums cannot be ruled out. This document proposes a two stage approach for combining unsupervised and supervised learning approaches for performing authorship attribution on web forum posts. During the first stage, the approach focuses on using clustering techniques to make an effort to group the data sets into stylistically similar clusters. The second stage involves using the resulting clusters from stage one as features to train different machine learning classifiers. This two stage approach is an effort towards reducing the complexity of the classification task and boosting the prediction accuracy.
Starting Page	1
Ending Page	7
File Size	447257
Page Count	7
File Format	PDF
ISBN	9781424477609
ISSN	21591245
e-ISBN	9781424477623
DOI	10.1109/ecrime.2010.5706693
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training stylometry Accuracy Machine learning algorithms Machine learning Feature extraction text categorization Authorship attribution machine learning classifiers clustering Classification algorithms Classification tree analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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