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WWW
2004
ACM
16 years 8 days ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
15 years 3 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper
ACL
2009
14 years 9 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 6 hour ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
15 years 3 months ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...