Information processing method and electronic equipment

An information processing method and technology of electronic equipment, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low correlation and non-objectivity, and achieve the effect of reducing the amount of calculation.

Active Publication Date: 2016-04-20
LENOVO (BEIJING) LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the above method only depends on the score of each feature, and the method of deciding whether to keep the feature in the rule set is not objective, because, in some cases, although the features f1 and f2 are only determined according to the preset rules The ranking is not within the range of the top N rankings, but the score of the new combined feature obtained after the combination of the feature f1 and the feature f2 can be greatly improved, even surpassing the features ranked in the top N. In this way, the existing method determines The rule set for is not very relevant to the preset rules

Method used

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  • Information processing method and electronic equipment
  • Information processing method and electronic equipment

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Experimental program
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Embodiment 1

[0027] figure 1 It is a schematic flow chart of the information processing method of the embodiment of the present invention Figure 1 , the method is applied to electronic equipment, such as figure 1 As shown, the method includes:

[0028] Step 101: Obtain N attribute information from the information to be detected, and use the N attribute information as N first elements to form an initial feature set;

[0029] In practical applications, any single feature in a large amount of information can be used as attribute information.

[0030] Step 102: Filter and combine the initial feature set according to the first preset rule to obtain M intermediate feature sets; the elements in each intermediate feature set are composed of two or more first elements ;

[0031] In practical applications, the initial feature set is screened, specifically the purpose of screening the first element in the initial feature set is to retain the first element with a high correlation with the target ...

Embodiment 2

[0041] figure 2 It is a schematic flow chart of the information processing method of the embodiment of the present invention Figure II ; The method is applied in electronic equipment, such as figure 2 As shown, the method includes:

[0042] Step 201: Obtain N attribute information from the information to be detected, and use the N attribute information as N first elements to form an initial feature set; wherein, the N is a positive integer greater than or equal to 1;

[0043] In practical applications, any single feature in a large amount of information can be used as attribute information; for example, five attribute information are determined from a large amount of information, namely f0, f1, f2, f3 and f4; in this embodiment, the The above f0, f1, f2, f3 and f4 are all referred to as the first element, and the set composed of the f0, f1, f2, f3 and f4 is called the initial feature set F0.

[0044] Step 202: Determine a first preset rule, in which a second preset thres...

Embodiment 3

[0054] image 3 It is a schematic flow chart of the information processing method of the embodiment of the present invention Figure three ; The method is applied in electronic equipment, such as image 3 As shown, the method includes:

[0055] Step 301: Obtain N attribute information from the information to be detected, and use the N attribute information as N first elements to form an initial feature set; wherein, the N is a positive integer greater than or equal to 1;

[0056] In practical applications, any single feature in a large amount of information can be used as attribute information; for example, five attribute information are determined from a large amount of information, namely f0, f1, f2, f3 and f4; in this embodiment, the The above f0, f1, f2, f3 and f4 are all referred to as the first element, and the set composed of the f0, f1, f2, f3 and f4 is called the initial feature set F0.

[0057] Step 302: Determine a first preset rule, in which a second preset thre...

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Abstract

The invention discloses an information processing method applied to electronic equipment; the method comprises the following steps: obtaining N attribute information from to-be detected information, and using the N attribute information as N first elements so as to form an initial characteristic set; screening and combining the initial characteristic set according to a first preset rule so as to obtain M intermediate characteristic sets, wherein the elements of each intermediate characteristic set respectively comprises two or more first elements; determining a target characteristic set, formed by one or more intermediate characteristic sets, from the M intermediate characteristic sets according to a second preset rule, wherein the second preset rule represents that weight of each intermediate characteristic set in the target characteristic set is bigger than a first preset threshold; classifying the to-be detected information according to the target characteristic set, wherein the N and M are respectively a positive integer bigger than or equal to 1. The invention embodiment also discloses electronic equipment.

Description

technical field [0001] The invention relates to text classification technology, in particular to an information processing method and electronic equipment. Background technique [0002] In the text classification problem, features are an important factor to determine the correlation between the final classification and the expected target. Therefore, it is of great significance to improve the correlation between the selected features and the expected target. Usually, the method of determining the rule set related to the expected target is: determine the score of each feature according to the evaluation criteria of the preset rules, arrange the scores from large to small, and use the set of the first N features with higher feature scores as collection of rules. [0003] However, the above method only depends on the score of each feature, and the method of deciding whether to keep the feature in the rule set is not objective, because, in some cases, although the features f1 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 葛安生卓雷赵凯
Owner LENOVO (BEIJING) LTD
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