Author : Jean-Charles Lamirel, Shadi Al Shehabi, Martial Hoffmann, Claire Francois

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Intelligent patent analysis through the use of a neural network experiment of multi-viewpoint analysis with the MultiSOM modelAuthor : Jean-Charles Lamirel, Shadi Al Sheh

abi, Martial Hoffmann, Claire Francois

Reporter : Tze Ho-Lin

2006/8/23

Association for Computational Linguistics, 2006

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Outline Motivation Objectives Method Application Evaluation Conclusion Personal Comments

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Motivation

Most of the classical information analysis tools can only manage an analysis of the studied domain in a global way.

In the domain of patent analysis, assisting a user in carrying out the complex process of analyzing large quantities of such information.

V.S.

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Objectives

Demonstrates the efficiency of a viewpoint-oriented-analysis as compared to a global analysis in the domain of patents.

V.S.

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Method: Inter-Map Communication Mechanism

[2]data nodes associated to the activated class nodes

[3]Transmit to other maps to which these data are associated

(1)

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Method: Inter-Map Communication Mechanism

(2)

(3)

(4)

n : a node associated to a datajn : n associated cluster on the source mapg : Cluster->Data Data->Cluster|| i || : the number of data associated to the cluster i 0.5 0.1 0.3 0.3

Vector Space Model

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Application Patent Document

Step 1 parse the structure of the patent abstracts to extract the subfields corresponding to the Use and to the Advantages viewpoints.Step 2 the rough index set of each subfield is constructed by the use of a basic computer-based indexing tool. Step 3 the normalization of the rough index set associated to each viewpoint is performed by the domain expert in order to obtain the final index sets.

Final Index Sets

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Application

Table 1: Summary of the results of patent indexation and map building.

GlobMin

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Evaluation

Recall

Precision

F-measure

Table 2: Summary of the results of Quality, Recall and Precision evaluation

(8)

(7)(9)

(6)(5)

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Conclusion Objective evaluation

For the domain experts: the original multiple viewpoints classification approach of MultiSOM tends to reduce the noise.

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Personal Comments Applications

Theory, News …

Advantages Reduce the noise More tends to general analyst’s analysis way.

Disadvantage Writing: Formula description is too rough. Method: Doesn’t use large data set to experiment yet.