Enhanced Hypertext Categorization Using Hyperlinks

Enhanced Hypertext Categorization Using Hyperlinks (1998)

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by Soumen Chakrabarti , Byron Dom , and Piotr Indyk , Piotr Indyk

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Datum	Value	Source
TITLE	Enhanced Hypertext Categorization Using Hyperlinks	user correction - Legacy Corrections
AUTHOR NAME	Soumen Chakrabarti	user correction - Legacy Corrections
AUTHOR NAME	Byron Dom	user correction - Legacy Corrections
AUTHOR NAME	and Piotr Indyk	user correction - Legacy Corrections
AUTHOR NAME	Piotr Indyk	user correction - Legacy Corrections
AUTHOR AFFIL	; Stanford University; and	user correction - Legacy Corrections
ABSTRACT	A major challenge in indexing unstructured hypertext databases is to automatically extract meta-data that enables structured search using topic taxonomies, circumvents keyword ambiguity, and improves the quality of search and profile-based routing and filtering. Therefore, an accurate classifier is an essential component of a hypertext database. Hyperlinks pose new problems not addressed in the extensive text classification literature. Links clearly contain highquality semantic clues that are lost upon a purely termbased classifier, but exploiting link information is non-trivial because it is noisy. Naive use of terms in the link neighborhood of a document can even degrade accuracy. Our contribution is to propose robust statistical models and a relaxation labeling technique for better classification by exploiting link information in a small neighborhood around documents. Our technique also adapts gracefully to the fraction of neighboring documents having known topics. We experimented ...	user correction - Legacy Corrections
YEAR	1998	user correction - Legacy Corrections
CITATIONS	40 found	ParsCit 1.0