WO2001022280A3 - Determining trends using text mining - Google Patents

Determining trends using text mining Download PDF

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Publication number
WO2001022280A3
WO2001022280A3 PCT/IL2000/000582 IL0000582W WO0122280A3 WO 2001022280 A3 WO2001022280 A3 WO 2001022280A3 IL 0000582 W IL0000582 W IL 0000582W WO 0122280 A3 WO0122280 A3 WO 0122280A3
Authority
WO
WIPO (PCT)
Prior art keywords
pairs
entries
sub
text mining
information
Prior art date
Application number
PCT/IL2000/000582
Other languages
French (fr)
Other versions
WO2001022280A2 (en
Inventor
Ronen Feldman
Yehonatan Aumann
Yaron Ben-Yehuda
David Landau
Original Assignee
Clearforest Ltd
Ronen Feldman
Yehonatan Aumann
Yaron Ben-Yehuda
David Landau
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Clearforest Ltd, Ronen Feldman, Yehonatan Aumann, Yaron Ben-Yehuda, David Landau filed Critical Clearforest Ltd
Priority to AU74428/00A priority Critical patent/AU7442800A/en
Publication of WO2001022280A2 publication Critical patent/WO2001022280A2/en
Publication of WO2001022280A3 publication Critical patent/WO2001022280A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G06F16/358—Browsing; Visualisation therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/93—Document management systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2216/00—Indexing scheme relating to additional aspects of information retrieval not explicitly covered by G06F16/00 and subgroups
    • G06F2216/03—Data mining
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/912—Applications of a database
    • Y10S707/917—Text
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00—Data processing: database and file management or data structures
    • Y10S707/99941—Database schema or data structure
    • Y10S707/99943—Generating database or data structure, e.g. via user interface

Abstract

A method for visualizing variations in a corpus of information. The corpus includes a plurality of information entries, which are divided into a plurality of sub-groups according to a differentiating parameter of the entries. For each of the entries, characteristics of information contained therein are extracted and pairs of different characteristics that appear together in at least one of the entries are found. An occurrence value is determined for each of the pairs of characteristics in each sub-group in which both of the characteristics appear. The occurrence values of at least some of the pairs of characteristics for at least two of the sub-groups are compared, and an indication of the comparative occurrence values of the pairs is provided.
PCT/IL2000/000582 1999-09-20 2000-09-19 Determining trends using text mining WO2001022280A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU74428/00A AU7442800A (en) 1999-09-20 2000-09-19 Determining trends using text mining

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/399,618 1999-09-20
US09/399,618 US6532469B1 (en) 1999-09-20 1999-09-20 Determining trends using text mining

Publications (2)

Publication Number Publication Date
WO2001022280A2 WO2001022280A2 (en) 2001-03-29
WO2001022280A3 true WO2001022280A3 (en) 2002-12-05

Family

ID=23580252

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IL2000/000582 WO2001022280A2 (en) 1999-09-20 2000-09-19 Determining trends using text mining

Country Status (3)

Country Link
US (1) US6532469B1 (en)
AU (1) AU7442800A (en)
WO (1) WO2001022280A2 (en)

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Publication number Priority date Publication date Assignee Title
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US9471670B2 (en) 2007-10-17 2016-10-18 Vcvc Iii Llc NLP-based content recommender

Also Published As

Publication number Publication date
US6532469B1 (en) 2003-03-11
WO2001022280A2 (en) 2001-03-29
AU7442800A (en) 2001-04-24

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