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DGO
2008
126views Education» more  DGO 2008»
13 years 11 months ago
Active learning for e-rulemaking: public comment categorization
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
Stephen Purpura, Claire Cardie, Jesse Simons
CCR
2010
81views more  CCR 2010»
13 years 9 months ago
Internet requests for comments (RFCs) as scholarly publications
This note describes the various peer review processes applied to Internet Requests for Comments (RFCs) over a number of years, and suggests that these have been up to normal schol...
Brian E. Carpenter, Craig Partridge
LREC
2010
309views Education» more  LREC 2010»
13 years 11 months ago
Comment Extraction from Blog Posts and Its Applications to Opinion Mining
Blog posts containing many personal experiences or perspectives toward specific subjects are useful. Blogs allow readers to interact with bloggers by placing comments on specific ...
Huan-An Kao, Hsin-Hsi Chen
ICWSM
2009
13 years 7 months ago
Analyzing and Predicting Community Preference of Socially Generated Metadata: A Case Study on Comments in the Digg Community
Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to stu...
Elham Khabiri, Chiao-Fang Hsu, James Caverlee
CHI
2007
ACM
14 years 1 months ago
Follow the reader: filtering comments on slashdot
Large-scale online communities need to manage the tension between critical mass and information overload. Slashdot is a news and discussion site that has used comment rating to al...
Cliff Lampe, Erik W. Johnston, Paul Resnick