METHOD AND APPARATUS FOR DOCUMENT CLUSTERING AND DOCUMENT SKETCHING

Patent №

US 7,433,869

Granted

2008-10-07

Filed 2006

Owner

EBRARY, INC.

+2 more

Lab

AI components

4

ml · nlp · vision · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11427781

A first embodiment of the invention provides a system that automatically classifies documents in a collection into clusters based on the similarities between documents, that automatically classifies new documents into the right clusters, and that may change the number or parameters of clusters under various circumstances. A second embodiment of the invention provides a technique for comparing two documents, in which a fingerprint or sketch of each document is computed. In particular, this embodiment of the invention uses a specific algorithm to compute the document's fingerprint, One embodiment uses a sentence in the document as a logical delimiter or window from which significant words are extracted and, thereafter, a hash is computed of all pair-wise permutations. Words are extracted based on their weight in the document, which can be computed using measures such as term frequency and the inverse document frequency.

Machine learningNatural languageVisionKnowledge representationG06F 16/313G06F 16/355Y10S 707/99933Y10S 707/99935Y10S 707/99942Y10S 707/99943

AI classification

Knowledge representation1.00
Natural language1.00
Vision1.00
Machine learning0.52
AI hardware0.18
Planning0.04
Evolutionary computation0.00
Speech0.00

Ownership

EBRARY, INC.

assignment · 181020960

MORGAN STANLEY & CO. INCORPORATED

correct · 257770332

MORGAN STANLEY SENIOR FUNDING, INC.

correct · 281010914

Assignors

GOLLAPUDI, SREENIVAS

On an employer assignment, the assignors are typically the inventors.

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