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» Scalable Feature Extraction from Noisy Documents
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TREC
2007
13 years 11 months ago
Lymba's PowerAnswer 4 in TREC 2007
This paper reports on Lymba Corporation’s (a spinoff of Language Computer Corporation) participation in the TREC 2007 Question Answering track. An overview of the PowerAnswer 4 ...
Dan I. Moldovan, Christine Clark, Moldovan Bowden
ESANN
2007
13 years 11 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
14 years 2 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
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
14 years 3 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
DL
1999
Springer
187views Digital Library» more  DL 1999»
14 years 2 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...