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» Word Importance Discrimination Using Context Information
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IWC
2002
121views more  IWC 2002»
14 years 9 months ago
Discovering user communities on the Internet using unsupervised machine learning techniques
Interest in the analysis of user behaviour on the Internet has been increasing rapidly, especially since the advent of electronic commerce. In this context, we argue here for the ...
Georgios Paliouras, Christos Papatheodorou, Vangel...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 3 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
ACMICEC
2006
ACM
186views ECommerce» more  ACMICEC 2006»
15 years 4 months ago
Distrust and trust in B2C e-commerce: do they differ?
Researchers have not studied e-commerce distrust as much as ecommerce trust. This study examines whether trust and distrust are distinct concepts. If trust and distrust are the sa...
D. Harrison McKnight, Vivek Choudhury
CIKM
2009
Springer
15 years 4 months ago
The impact of document structure on keyphrase extraction
Keyphrases are short phrases that reflect the main topic of a document. Because manually annotating documents with keyphrases is a time-consuming process, several automatic appro...
Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten...
COLING
2010
14 years 5 months ago
Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues
Given a movie comment, does it contain a spoiler? A spoiler is a comment that, when disclosed, would ruin a surprise or reveal an important plot detail. We study automatic methods...
Sheng Guo, Naren Ramakrishnan