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KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 3 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
16 years 3 months ago
Enabling enterprise mashups over unstructured text feeds with InfoSphere MashupHub and SystemT
Enterprise mashup scenarios often involve feeds derived from data created primarily for eye consumption, such as email, news, calendars, blogs, and web feeds. These data sources c...
David E. Simmen, Frederick Reiss, Yunyao Li, Sures...
115
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SAC
2006
ACM
15 years 9 months ago
Approaches to text mining for clinical medical records
Clinical medical records contain a wealth of information, largely in free-text form. Means to extract structured information from free-text records is an important research endeav...
Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestr...
SAC
2003
ACM
15 years 8 months ago
Multiclass Text Categorization for Automated Survey Coding
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...
Daniela Giorgetti, Fabrizio Sebastiani
SIGIR
1999
ACM
15 years 7 months ago
Summarizing Text Documents: Sentence Selection and Evaluation Metrics
Human-quality text summarization systems are di cult to design, and even more di cult to evaluate, in part because documents can di er along several dimensions, such as length, wri...
Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, ...