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Information science / Spam / Anti-spam techniques / Forum spam / Email spam / Adversarial information retrieval / Internet forum / Email / Spamming / Internet / Computing


Robust Detection of Comment Spam Using Entropy Rate Alex Kantchelian Justin Ma UC Berkeley
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Document Date: 2012-09-10 16:28:10


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City

Raleigh / /

Company

Facebook / Impermium Corporation / SIAM Journal / Intel / /

Country

United States / /

Currency

USD / /

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Event

Product Issues / Product Recall / Company Expansion / /

Facility

J. D. Tygar Intel Labs Sadia Afroz Anthony D. Joseph Drexel University / /

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online update step / Online update / compression algorithm / lossless data compression algorithm / noisetolerant algorithm / online approach / social networking communities / chain algorithm / inner product / e-books / offer promising solutions / Web Conference / online shopping websites / online articles / social media platforms / web service / online setting / social media spam / social media comments / social media / software development kit / social media spam messages / online communities / web application managing simultaneous labelers / binary search / search engines / media spam / classification algorithms / Web blog comments / tolerant logistic regression algorithm / limited memory algorithm / power-law convergence / social networks / social media site / social network / compression algorithms / learning algorithms / /

Organization

National Science Foundation / UC Berkeley / US Department of State / IMC / Drexel University / Philadelphia UC / US Federal Reserve / Center for Secure Computing / /

Person

Ling Huang / /

Position

author / same author / /

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ProgrammingLanguage

Python / /

ProvinceOrState

New York / North Carolina / /

PublishedMedium

IEEE Transactions on Information Theory / Journal of Machine Learning Research / /

Technology

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