CN112818249A - Multi-dimensional image construction method and system for crowd with specific tendency - Google Patents

Abstract

The invention relates to a method for constructing a multi-dimensional image of a crowd with a specific tendency, which specifically comprises the following steps of S1: taking an input method data source as a target crowd data source; s2: constructing at least one characteristic library with at least one set of specific tendency characteristics according to the input method data source and the actual requirement; s3: matching an input method data source of a crowd to be analyzed with a feature library, and screening out a target crowd with a specific tendency; s4: extracting input original text data of a target crowd and constructing a single-channel target crowd image library; s5: deriving individual identification information, and associating network account numbers of the individual on all internet platforms; s6: and (4) performing network data fusion across the Internet platforms, fusing heterogeneous network data of each Internet platform, adjusting the specific tendency of an individual according to an analysis result, forming a multi-dimensional image library of a target crowd with the specific tendency, and adjusting and perfecting the related tendency hierarchical feature library in the S2.

Description

Multi-dimensional image construction method and system for crowd with specific tendency

Technical Field

The invention relates to a multi-dimensional image construction method for people with specific tendencies.

The invention also relates to a multi-dimensional image construction system for the crowd with the specific tendency.

Background

Along with the popularization of mobile internet and social media, the spread of various illegal information is intensified, the spread means is increasingly hidden, and the defects of the existing monitoring means are increasingly highlighted. The development of the internet brings unprecedented challenges for relevant departments to carry out special work such as illegal activities. The popularization of various network applications including cloud disks, instant messaging, forum blogs and network finance enables people with specific illegal tendencies to greatly utilize private and circle-clustered network tools, and brings great convenience to incite, recruit, organize, plan and implement illegal activities. The traditional method for collecting webpage data based on the web crawler has the problems of difficulty in finding, difficulty in tracking, insufficient deterrence, high cost and the like, a new method is needed, a new mode of special subject information management and control is innovated, and the perception capability of various illegal information is practically improved. The big data technology becomes one of the important technical means for the reform of social governance.

Because the spreading of various illegal network public hazard information is intensified, the spreading means is increasingly concealed, and the defects of the traditional monitoring means are increasingly highlighted. Therefore, thinking and a new way must be changed, network public hazard information control modes such as illegal activities on the internet and the like must be innovated, and the perceptibility and the prevention and control force for the production and the propagation of the network public hazard information are practically improved. In recent years, the total amount of global internet data is maintained at a high growth rate, on one hand, the technical monitoring surface is far shorter than the growth rate of the whole network data, and the effect is difficult to achieve by simply adding manpower or technical resources; on the other hand, the new application of the new network propagation technology causes monitoring blind areas, and mainly comprises closed propagation platforms such as various social media, network disks, mail groups and instant messaging groups, and semi-closed propagation platforms such as friend circles, content sharing communities and live barrages. Therefore, the special harmful information management and control 'fortification layer by layer and difficult fortification layer by layer' is caused.

In addition, compared with the conventional harmful information, the distribution of various illegal information has stronger organization and purpose, and the characteristics are obvious: the content production is more concealed, the propagation circle is grouped and private, the outbreak is more random, and the intercommunication between the inside and the outside is frequent. These characteristics make such harmful information identification, monitoring very difficult, hardly discover source and predict in advance, but once appearing can cause extremely bad influence, lead to the supervision always in passive situation. Only by deeply researching the production and propagation rules of the illegal information, the dilemma of 'fishing needles in the sea' can be avoided, and the functions of 'targeting' and 'achieving twice the result with half the effort' are achieved.

Disclosure of Invention

The invention aims to provide a multi-dimensional image construction method for a crowd with a specific tendency, which can quickly and accurately sense the crowd with the specific tendency, perform multi-platform tracking and comprehensive study and judgment according to individual identification information, and form a multi-dimensional image library of the crowd with the individual tendency, so that the method is convenient for research and tracking analysis on the crowd and individuals of the crowd with the specific tendency, is also beneficial to timely control the production and propagation sources of the illegal harmful information, and is convenient for a user to timely perform legal management on the illegal harmful information and the production and propagation crowd thereof.

Another object of the present invention is to provide a multi-dimensional image construction system for people with specific tendencies, which can implement the above method.

The invention relates to a multi-dimensional image construction method for crowds with specific tendencies, which specifically comprises the following steps:

s1: taking an input method data source as a data source of a crowd to be analyzed;

s2: constructing at least one feature library according to an input method data source and actual requirements, wherein the feature library has at least one set of specific tendency features;

s3: matching an input method data source of a crowd to be analyzed with a feature library, and screening out a target crowd with at least one specific tendency;

s4: extracting input original text data of a target crowd, and constructing a single-channel target crowd image library based on an input method;

s5: deriving individual identification information in a single-channel target crowd image library, pushing the individual identification information to each internet platform, and associating network account numbers of the individual on all internet platforms;

s6: performing network data fusion across the internet platforms, and fusing heterogeneous network data of each internet platform in the S5; and adjusting the specific tendency of the individual according to the analysis result, forming a multi-dimensional image library of the target population with the specific tendency, and adjusting and perfecting the related tendency grading characteristic library in the S2.

By adopting the method, the crowd with specific tendentiousness can be quickly and accurately sensed, multi-platform tracking and comprehensive study and judgment are carried out according to the individual identification information, and the multi-dimensional image library of the crowd with individual tendentiousness is formed, so that the method is convenient for researching, tracking and analyzing the crowd and individuals of the tendentiousness crowd, is also beneficial to timely mastering the production and propagation sources of the illegal harmful information, and is convenient for a user to timely carry out the legal and normative management on the illegal harmful information and the production and propagation crowd thereof.

Further, step S5 includes:

s5.1, deriving individual identification class information in a single-channel target crowd image library, wherein the individual identification class information comprises but is not limited to: the method comprises the steps that when a user uses an input method, the user uses an equipment identification code, the input method registration mobile phone number and the input method registration mailbox;

s5.2, each Internet platform checks the identification information of each individual, provides the account number and the related data information of the individual on the platform, and acquires the network account numbers possibly existing on each Internet platform of the target population and correlates the network account numbers to form a network account number library of the target population.

By adopting the method, individual internet account numbers of individuals are correlated through individual identification type information such as the equipment identification code, the input method registration mobile phone number, the input method registration mailbox and the like, and the individuals of the target group are subjected to multi-platform tracking analysis, so that the individual related information is tracked and managed more comprehensively.

Step S6 includes:

s6.1, performing data fusion on the data source of the input method of each individual in the target crowd network account database and the data information of each Internet platform;

s6.2, comprehensive research and judgment are carried out according to the fusion data of S6.1, the specific tendentiousness and/or the grade of the target crowd individual are/is adjusted, a specific tendentiousness target crowd grading multidimensional image library is formed, and the characteristic library of the relevant tendentiousness in S2 is adjusted and perfected.

By adopting the method, comprehensive research and judgment are carried out through the fused data, so that an accurate target crowd grading multidimensional image library with specific tendencies is formed based on more comprehensive internet data resources, and the corresponding feature library is adjusted and perfected according to the accurate target crowd grading multidimensional image library, so that the screening accuracy is provided.

Further comprising step S7: user business support, a target crowd grading multidimensional image library based on specific tendentiousness, and different use models are developed according to actual conditions, wherein the different use models include but are not limited to: entity discovery, target activity track restoration and tracking, companion relationship analysis, information tracing and diffusion analysis, social relationship network restoration and social relationship network mining or other standardized basic data analysis models.

By adopting the method, different use models are set by utilizing the fused data for subsequent research and development so as to meet the complicated and various user use requirements

Step S1 includes:

s1.1, multi-source data acquisition: data is collected based on different input methods including, but not limited to: inputting a text, inputting time, inputting a platform where the text is located, an equipment identification code and a registered account;

s1.2, multi-source heterogeneous data processing: preprocessing the acquired data, and removing noise information or blank information according to a cleaning mechanism or a screening mechanism;

s1.3, establishing a data source base library of an input method: and constructing an input method data source base based on the preprocessed data source, performing storage management and establishing a query retrieval mechanism.

By adopting the method, on one hand, different input data sources are acquired by acquiring different types of input method tools, the data comprises but is not limited to input texts, input time, an input platform, equipment identification codes, registered accounts and the like, and the acquired data has multiple sources and richness, so that the data is complete and comprehensive, and the subsequent analysis and management of target people are facilitated; on the other hand, the data is cleaned or screened before being processed, noise information or blank information is eliminated, and the effectiveness of the data of the crowd to be analyzed is improved.

Step S2 includes:

s2.1, constructing an initial feature library: constructing an initial feature library with at least one specific tendency according to actual requirements;

s2.2 hierarchical identification: performing attribute classification and identification on a certain specific tendency of the initial feature library according to a classification standard, and distinguishing the tendency degree when a certain specific tendency feature is represented;

s2.3 feature library supplementation: analyzing and researching the text information in S6, and adding the newly found text information for representing the specific tendency characteristics into the related specific tendency characteristic library;

s2.4, adjusting a feature library: and according to the text information input by the input method of the target population in the S6, checking the text information for representing the specific tendency characteristics, and adjusting the content and the grading identification of the corresponding specific tendency characteristic library according to the checking result.

By adopting the method, an initial characteristic library with a set of at least one specific tendency characteristic is initially constructed, and the target crowd is classified and identified in the characteristic library according to the appearance frequency of related characteristic words or characteristic words of the target crowd, so that the subsequent distinguishing management can be carried out according to the identification level of the target crowd; in addition, the feature library and the classification standard are adjusted and perfected according to the final matching result, so that the judgment and analysis accuracy of the method is continuously improved. Meanwhile, the original data of the input method of part of target people with specific tendencies are intelligently analyzed, new words reflecting the specific tendencies are extracted, and the corresponding extraction algorithm is constructed by text information and combinations thereof, such as specific terms, secret words, black words, jargon, slogans, acronyms, aliases and the like with certain discrimination, or text information and combinations thereof, such as names of people, place names, organizational structure names and the like with specific tendencies, so that the new words and the hidden expressions are discovered in time, and the feature library is continuously updated and perfected, thereby improving the judgment analysis accuracy and the screening speed of the method.

The invention also provides a multi-dimensional image construction system for people with specific tendencies, which comprises the following steps:

the input method data source subsystem is used for collecting and storing the input method data information of the crowd to be analyzed;

a tendency feature library subsystem having at least one set of tendency-specific features and feature rating information; and

the tendency matching subsystem is used for comparing the data information in the input method data source subsystem with the characteristic information in the tendency characteristic library subsystem, marking the crowd with a certain specific tendency and screening out the target crowd with at least one specific tendency;

the target population network account subsystem associates the network accounts of the individual on all the Internet platforms according to the individual identification information of the target population;

and the cross-internet platform network data fusion subsystem fuses the heterogeneous network data of each internet platform, adjusts the specific tendency of the individual according to the analysis result, forms a multi-dimensional image library of the target crowd with the specific tendency, and adjusts and perfects the related tendency grading feature library.

The target crowd network account subsystem comprises:

the target population individual identification information database outputs equipment identification codes, registered mobile phone numbers, registered mailboxes or other individual identification information related to individual use of the input method from a single-channel target population image library based on the input method of the tendency matching subsystem, and integrates the equipment identification codes, the registered mobile phone numbers, the registered mailboxes or other individual identification information to form the database; based on the individual identification, the individual identification classes of the individual identification classes are required to be checked by internet enterprises such as video websites, cloud disks, social networks and the like;

and each internet enterprise checks the target population individual identification information database, and collects the network accounts which are possibly registered on the internet platform operated by the target population individual with a certain/a plurality of specific tendencies to form the target population network account library.

The cross-platform network data fusion subsystem comprises:

the multi-source heterogeneous network data fusion module is used for performing data fusion on the individual heterogeneous network data with specific tendencies on the plurality of internet platforms and the input method data sources thereof according to the network account database of the target crowd and the network data of the related accounts required by each internet platform;

the comprehensive tendency studying and judging and grading module is used for comprehensively studying and judging the cross-platform fusion data of the individuals, secondarily confirming the specific tendency and the grading thereof and adjusting and perfecting a related tendency grading feature library in the tendency feature library subsystem;

the multi-dimensional image library for grading the target crowd with the specific tendency is formed on the basis of comprehensive internet data resources according to analysis and confirmation results of the comprehensive tendency studying and judging and grading module.

Also included is a propensity feature discovery and verification subsystem comprising:

extracting input original text data of a target population of a single-channel target population image library based on an input method in a tendency matching subsystem as a basic data source of the subsystem;

the tendency characteristic finding module is used for extracting text information which is used for representation and is not recorded in the tendency characteristic library subsystem from the original input text library of the target crowd, and supplementing the text information serving as a new characteristic into a corresponding characteristic library after verification;

and the tendency characteristic verification module is used for carrying out secondary comprehensive study and judgment on the input original text data of the target population of the single-channel target population image library based on the input method in the tendency matching subsystem, and verifying the tendency and the classification of the target population. And adjusting the content and rating identification of the propensity feature library subsystem based on the verification conclusion.

Also included is a user service support subsystem comprising:

the standardized basic data analysis model library is a data analysis module which takes a classified multidimensional image library of specific tendency target crowds as data support, is small in granularity, low in coupling degree and uniform in interface, and is formed by independently operating input and output interfaces which are used for data analysis and standardized by the analysis modules;

and the user service support module library is based on the standardized basic data analysis model library, combines the service requirements of the user and assembles each analysis module to form the required user service support module.

In the embodiment, the target crowd grading multidimensional image library with specific tendencies is taken as a core database formed by the system, and the users are supported to carry out diversified business work.

According to the invention, the relevant data acquired by the input method tool is taken as a basic data source, the crowd with specific tendentiousness can be quickly and accurately sensed, multi-platform tracking and comprehensive research and judgment are carried out according to individual identification information, and a multi-dimensional image library of the individual tendentiousness crowd is formed, so that the method is convenient for research and tracking analysis of the groups and individuals of the tendentiousness crowd, is also beneficial to timely control of relevant crowd information, and is convenient for subsequent analysis and management; performing multi-platform tracking analysis on individuals of the target population, and comprehensively studying and judging the specific tendentiousness and the grading condition of the specific tendentiousness, so as to further confirm and adjust the grading condition of the specific tendentiousness and the tendentiousness of the target population; the input method data source can be used for perceiving the crowd into various tendentiousness, and particularly classifying and dividing the dangerous information propagation crowd, so that the dangerous information propagation source can be controlled in time, and the dangerous information propagation crowd can be conveniently and subsequently processed in time.

Drawings

FIG. 1 is a flow chart of a method for constructing a multi-dimensional portrait of a crowd with a specific tendency according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention; the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; furthermore, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, as they may be fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.

Example 1

As shown in fig. 1, the embodiment provides a method for constructing a multi-dimensional image of a crowd with a specific tendency, which specifically includes the following steps:

s1: taking an input method data source as a data source of a crowd to be analyzed;

s2: constructing at least one feature library according to an input method data source and actual requirements, wherein the feature library has at least one set of specific tendency features;

s3: matching an input method data source of a crowd to be analyzed with a feature library, and screening out a target crowd with at least one specific tendency;

s4: extracting input original text data of a target crowd, and constructing a single-channel target crowd image library based on an input method;

s5: deriving individual identification information in a single-channel target crowd image library, pushing the individual identification information to each internet platform, and associating network account numbers of the individual on all internet platforms;

s6: and (4) performing network data fusion across the Internet platforms, fusing heterogeneous network data of each Internet platform in the S5, adjusting the specific tendency of the individual according to an analysis result, forming a multi-dimensional image library of the target crowd with the specific tendency, and adjusting and perfecting the related tendency grading feature library in the S2.

In reality, a target individual may input less text information related to a specific tendency when using an input method, but shares related resources with the specific tendency through a cloud disk or other programs, and the like, and the specific tendency and attribute level of the target individual need to be adjusted according to the tracked data information, so as to further improve the accuracy or precision of the screened target population.

In the embodiment, the relevant data acquired by the input method tool is used as a basic data source, and people with a certain specific tendency are screened, classified and divided, so that the information of the relevant people can be mastered in time, and the follow-up analysis and management are facilitated; compared with other analysis methods, the method has the advantages of high screening precision, high identification degree of target people, convenience in follow-up management and tracking and the like; multi-platform tracking analysis is carried out on the target population individuals through the individual identification information, and the specific tendentiousness and the grading condition of the target population individuals are comprehensively researched and judged, so that the specific tendentiousness and the grading condition of the tendentiousness of the target population are further confirmed and adjusted; meanwhile, multi-platform tracking and comprehensive research and judgment are carried out according to individual identification information, and a multi-dimensional image library of individual tendency crowds is formed, so that the method is convenient for research and tracking analysis of the groups and individuals of the tendency crowds; this embodiment is through classifying the dangerous information propagation crowd to the multidimensional perception of crowd, is favorable to in time controlling dangerous information propagation source, and convenient follow-up is in time handled dangerous information and dangerous information propagation crowd.

In this embodiment, the input method data source is obtained under legal compliance, and the basic data source obtained by the input method tool has the following advantages compared with the traditional data obtaining method (such as web crawler) based on web page collection:

firstly, the data source is comprehensive and stable. The input method is necessary software for netizens to input characters and to publish information on the internet, and no matter forums, microblogs, QQ and WeChat are used, the method is not supported by the input method, and has the characteristics of wide user coverage, high user stickiness, low replacement rate, high authority level and the like. In order to improve user experience, the input methods are internally provided with a data collection function, namely when a user uses the internet access equipment, the input methods can automatically collect information such as input content, equipment identification codes and used network platforms of the user and upload the information to a background database. Here, it should be noted that: when an input method tool is installed by an input method company, a user is required to confirm a lengthy user agreement to further install the input method tool, and related information is definitely collected in the user agreement, namely, the input method is used for collecting data under the condition that the user permits.

And secondly, the input method data supply side is relatively centralized. At present, most market shares are monopolized by input method software with the highest market share, and convenience is provided for coordinating data sources.

Thirdly, the data types are comprehensive. In order to improve analysis capability and user experience, the input methods are internally provided with a data collection function, namely when a user uses software, the software can automatically collect information such as input time, input text content, equipment identification codes and input network platforms of the user, and upload the information to a background database for storage, so that an important support is provided for the user to carry out data analysis.

In the embodiment, the method is used for screening and tracking network crowds with illegal activities in the aspect of telecommunication and the like, and related responsibility departments can adopt different management measures for key individuals according to analysis results, so that the supervision efficiency and the tracking processing speed of the risk-oriented crowds are improved. That is to say, the embodiment intelligently classifies related people with specific tendencies, is beneficial to timely control the production and propagation sources of the illegal and harmful information, and facilitates the user to timely perform the legal management on the illegal and harmful information and the production and propagation people thereof.

Further, step S5 includes:

s5.1, deriving individual identification class information in a single-channel target crowd image library, wherein the individual identification class information comprises but is not limited to: the method comprises the steps that when a user uses an input method, the user uses an equipment identification code, the input method registration mobile phone number and the input method registration mailbox;

s5.2, each Internet platform checks the identification information of each individual, provides the account number and the related data information of the individual on the platform, and acquires the network account numbers possibly existing on each Internet platform of the target population and correlates the network account numbers to form a network account number library of the target population.

According to the embodiment, individual internet account numbers of individuals are correlated through individual identification type information such as the equipment identification code, the input method registration mobile phone number and the input method registration mailbox, and the individuals of target groups are subjected to multi-platform tracking analysis, so that the individual related information is tracked and managed more comprehensively.

Step S6 includes:

s6.1, performing data fusion on the data source of the input method of each individual in the target crowd network account database and the data information of each Internet platform;

s6.2, comprehensive research and judgment are carried out according to the fusion data of S6.1, the specific tendentiousness and/or the grade of the target crowd individual are/is adjusted, a specific tendentiousness target crowd grading multidimensional image library is formed, and the characteristic library of the relevant tendentiousness in S2 is adjusted and perfected.

In the embodiment, comprehensive research and judgment are carried out through data fusion, so that an accurate grading multidimensional image library of the target population with the specific tendency is formed based on comprehensive internet data resources, and the corresponding characteristic library is adjusted and perfected accordingly, so that the screening accuracy is provided.

Further comprising step S7: and (4) the user business support develops different use models according to actual situations by using the data fused in the S5, including but not limited to: entity discovery, target activity track restoration and tracking, companion relationship analysis, information tracing and diffusion analysis, social relationship network restoration and social relationship network mining or other standardized basic data analysis models. These models can also be custom assembled to generate, including but not limited to: a sensitive topic finding and tracking module; a group discovery and control module; the group organization structure and the personnel relationship analysis module; fourthly, a group partner region transaction monitoring module; a group behavior early warning module; linking monitoring module for person with specific tendency; and the information visualization and monitoring module is used for meeting the complex and various business requirements of the information visualization and monitoring module. According to the embodiment, different use models are set by utilizing the subsequent research and development of the fused data so as to meet the complicated and various user use requirements.

Step S1 of the present embodiment includes:

s1.1, multi-source data acquisition: data is collected based on different input methods including, but not limited to: inputting a text, inputting time, inputting a platform where the text is located, an equipment identification code and a registered account;

s1.2, multi-source heterogeneous data processing: preprocessing the acquired data, and removing noise information or blank information according to a cleaning mechanism or a screening mechanism;

s1.3, establishing a data source base library of an input method: and constructing an input method data source base based on the preprocessed data source, performing storage management and establishing a query retrieval mechanism.

By adopting the method, on one hand, different input data sources are acquired by acquiring different types of input method tools, the data comprises but is not limited to input texts, input time, an input platform, equipment identification codes, registered accounts and the like, and the acquired data has multiple sources and richness, so that the data is complete and comprehensive, and the subsequent analysis and management of target people are facilitated; on the other hand, the data is cleaned or screened before being processed, noise information or blank information is eliminated, and the effectiveness of the data of the crowd to be analyzed is improved.

Step S2 includes:

s2.1, constructing an initial feature library: constructing an initial feature library with at least one specific tendency according to actual requirements;

s2.2 hierarchical identification: performing attribute classification and identification on a certain specific tendency of the initial feature library according to a classification standard, and distinguishing the tendency degree when a certain specific tendency feature is represented;

s2.3 feature library supplementation: analyzing and researching the text information in S6, and adding the newly found text information for representing the specific tendency characteristics into the related specific tendency characteristic library;

s2.4, adjusting a feature library: and according to the text information input by the input method of the target population in the S6, checking the text information for representing the specific tendency characteristics, and adjusting the content and the grading identification of the corresponding specific tendency characteristic library according to the checking result.

In general terms, the specific scheme of the embodiment is as follows: s1: taking an input method data source as a data source of a crowd to be analyzed;

s2: constructing at least one feature library according to an input method data source and actual requirements, wherein the feature library is provided with at least one set of specific tendency features, each specific tendency feature is provided with a hierarchical identifier, and each tendency feature library can be continuously updated and iterated;

definition of the so-called specific tendency characteristics: the method comprises the following steps of including text information and combinations thereof such as specific terms, secret words, black words, jargon, slogans, acronyms, abbreviations and aliases with certain distinguishing degrees, or text information and combinations thereof such as names of people, place names and organizational structure names with specific tendentiousness meanings;

the hierarchical designation of a particular directional characteristic is a distinction between "degrees of directional" that the characteristic represents when a particular directional characteristic is characterized.

S3: matching an input method data source of the crowd to be analyzed with the feature library, matching various specific tendencies and grading conditions of the crowd, screening out target crowds with at least one specific tendency, and grading the target crowds according to grading identification of specific tendency features.

In the embodiment, an initial feature library with a set of at least one specific tendency feature is initially constructed, and the target crowd is classified and identified in the feature library according to the appearance frequency of related feature words or feature words of the target crowd, so that the target crowd can be distinguished and managed according to the identification level of the target crowd; in addition, the feature library and the classification standard are adjusted and perfected according to the final matching result, so that the judgment and analysis accuracy of the method is continuously improved. Meanwhile, the original data of the input method of part of target people with specific tendencies are intelligently analyzed, new words reflecting the specific tendencies are extracted, and the corresponding extraction algorithm is constructed by text information and combinations thereof, such as specific terms, secret words, black words, jargon, slogans, acronyms, aliases and the like with certain discrimination, or text information and combinations thereof, such as names of people, place names, organizational structure names and the like with specific tendencies, so that the new words and the hidden expressions are discovered in time, and the feature library is continuously updated and perfected, thereby improving the judgment analysis accuracy and the screening speed of the method.

In summary, in the embodiment, the multiple-platform tracking analysis is performed on the individuals of the target group, and the specific tendencies and the grading conditions thereof are comprehensively researched and judged, so that the specific tendencies and the grading conditions thereof of the target group of people can be further confirmed and adjusted; meanwhile, different use models can be set by utilizing the subsequent research and development of the fused data so as to meet the use requirements of complex and various users.

Example 2

The present embodiment provides a system for constructing a multi-dimensional image of a specific tendency crowd, comprising:

the input method data source subsystem is used for collecting and storing the input method data information of the crowd to be analyzed;

a tendency feature library subsystem having a set of at least one specific tendency feature information; and

the tendency matching subsystem is used for comparing the data information in the input method data source subsystem with the characteristic information in the tendency characteristic library subsystem, marking the crowd with a certain specific tendency and screening out the target crowd with at least one specific tendency;

the target population network account subsystem associates the network accounts of the individual on all the Internet platforms according to the individual identification information of the target population;

and the cross-internet platform network data fusion subsystem fuses the heterogeneous network data of each internet platform, adjusts the specific tendency of the individual according to the analysis result, forms a multi-dimensional image library of the target crowd with the specific tendency, and adjusts and perfects the related tendency grading feature library.

Wherein the input method data subsystem comprises

The multi-source data collection module collects various input method data of a crowd to be analyzed, wherein the input method data comprises but is not limited to: inputting a text, inputting time, inputting a platform where the text is located, an equipment identification code and a registered account;

the multi-source data preprocessing module is used for preprocessing the acquired data and eliminating noise information or blank information according to a cleaning mechanism or a screening mechanism; the input method database module is used for constructing an input method data source base based on the preprocessed data source, performing storage management, establishing a query retrieval mechanism and providing various data interfaces to support the mining of people with specific tendencies;

the tendency feature library subsystem comprises

The characteristic library initialization module is used for constructing an initial characteristic library with at least one specific tendency characteristic or importing the initial characteristic library into the original initial characteristic library according to actual requirements; and

the characteristic grading identification module is used for carrying out attribute grading and identification on a certain specific tendency of the initial characteristic library according to a grading standard; the attributes of a particular trend of the initial feature library are ranked and identified according to ranking criteria,

the tendency characteristic library subsystem updates or perfects the characteristic library initialization module and the characteristic grading identification module according to the matching structure of the tendency matching subsystem;

the tendency matching subsystem includes:

the crowd specific tendency matching module is used for performing correlation analysis on the data information of the input method database module in the input method data source subsystem and the characteristic information of the characteristic grading identification module in the tendency characteristic database subsystem, marking the crowd with one or more specific tendencies, screening out a target crowd with at least one specific tendency and grading and identifying the specific tendency;

the single-channel target crowd image library based on the input method is formed by fusing and analyzing text information input by the input method of the target crowd individual acquired by the crowd specific tendency matching module in combination with input time, an input platform, equipment identification codes, registered accounts and other information.

In this embodiment, on one hand, the input method data subsystem collects different input data sources by collecting different types of input method tools, where the data includes, but is not limited to, input text, input time, platform where the input is located, device identification code, registered account number, etc., and the collected data has multiple sources and richness, so that the data is complete and comprehensive, and is convenient for subsequent analysis and management of target people; on the other hand, the data is cleaned or screened before being processed, noise information or blank information is eliminated, and the effectiveness of the data of the crowd to be analyzed is improved. The tendency characteristic library subsystem initially constructs an initial characteristic library with at least one specific tendency, and carries out grading and identification on the target crowd in the characteristic library according to the appearance frequency of related characteristic words or characteristic words of the target crowd, so that the subsequent distinguishing management can be carried out according to the identification level of the target crowd; in addition, the feature library and the classification standard are adjusted and perfected according to the final matching result, so that the judgment and analysis accuracy of the method is continuously improved.

That is, in the embodiment, the relevant data acquired by the input method tool is used as a basic data source, and people with a certain specific tendency are screened and classified, so that the information of the relevant people can be mastered in time, and the follow-up analysis and management are facilitated; compared with other analysis methods, the method has the advantages of high screening precision, high identification degree of target people, convenience in follow-up management and tracking and the like; multi-platform tracking analysis is carried out on the target population individuals through the individual identification information, and the specific tendentiousness and the grading condition of the target population individuals are comprehensively researched and judged, so that the specific tendentiousness and the grading condition of the tendentiousness of the target population are further confirmed and adjusted; this embodiment is through classifying the dangerous information propagation crowd to the multidimensional perception of crowd, is favorable to in time controlling dangerous information propagation source, and convenient follow-up is in time handled dangerous information and dangerous information propagation crowd.

The target crowd network account subsystem comprises:

the target population individual identification information database outputs equipment identification codes, registered mobile phone numbers, registered mailboxes or other individual identification information related to individual use of the input method from a single-channel target population image library based on the input method of the tendency matching subsystem, and integrates the equipment identification codes, the registered mobile phone numbers, the registered mailboxes or other individual identification information to form the database;

and each internet enterprise checks the target population individual identification information database, and collects the network accounts which are possibly registered on the internet platform operated by the target population individual with a certain/a plurality of specific tendencies to form the target population network account library.

In this embodiment, the individual identification information such as the device identification code, the registered mobile phone number, and the registered mailbox used when each character uses the input method is output from the single-channel target group image library of the tendency matching subsystem to form the database, and based on this, internet enterprises such as video websites, cloud disks, and social networks are required to perform self-check on the individual identification information. After being checked based on the target population individual identification information database, each internet enterprise collects the network account numbers which are possibly registered on the internet platform operated by the target population/populations with certain/multiple specific tendencies, thereby forming a comprehensive target population network account number database and tracking and managing the individual related information more comprehensively in the future.

The cross-platform network data fusion subsystem comprises:

the multi-source heterogeneous network data fusion module is used for performing data fusion on the individual heterogeneous network data with specific tendencies on the plurality of internet platforms and the input method data sources thereof according to the network account database of the target crowd and the network data of the related accounts required by each internet platform;

the comprehensive tendency studying and judging and grading module is used for comprehensively studying and judging the cross-platform fusion data of the individuals, secondarily confirming the specific tendency and the grading thereof and adjusting and perfecting a related tendency grading feature library in the tendency feature library subsystem;

and forming the grading multidimensional image library of the target crowd with the specific tendency according to the analysis and confirmation results of the comprehensive tendency studying and judging and grading module.

In this embodiment, the formed target population network account library is delivered to each internet platform to provide network data of related accounts, heterogeneous network data of a plurality of internet platforms are fused, and a high-precision target population grading multidimensional image library with a specific tendency is finally generated through comprehensive tendency study, judgment and grading.

Further, the present embodiment further includes a tendency feature discovery and verification subsystem, which includes:

extracting input original text data of a target population of a single-channel target population image library based on an input method in a tendency matching subsystem as a basic data source of the subsystem;

the tendency characteristic finding module is used for extracting text information which is used for representation and is not recorded in the tendency characteristic library subsystem from the original input text library of the target crowd, and supplementing the text information serving as a new characteristic into a corresponding characteristic library after verification;

and the tendency characteristic verification module is used for carrying out secondary comprehensive study and judgment on the input original text data of the target population of the single-channel target population image library based on the input method in the tendency matching subsystem, verifying the tendency and the grading of the target population, and adjusting the content and the grading identification of the tendency characteristic library subsystem according to the verification conclusion.

In this embodiment, the specific tendency feature that is not stored is extracted by the tendency feature discovery module, and is verified and added as a new feature to the corresponding feature library. By adopting the method, the original data of the input method of the target population with the specific tendency is intelligently analyzed, and the newly found specific tendency characteristic is extracted, so that new words, arcane words and combinations thereof are found in time, and the specific tendency characteristic library is continuously updated and perfected, thereby improving the judgment and analysis accuracy and adaptability of the method.

And performing secondary comprehensive study and judgment on the input original text data of the target population of S3 through a tendency characteristic verification module, and further verifying the tendency and the grading of the target population. And according to the verification results, the content and the grading identification of the related tendency feature library in the S2 are further adjusted, so that the tendency feature library of the S2 is continuously perfected, and the judgment analysis accuracy and the adaptability of the method are improved.

Further, the present embodiment further includes a user service support subsystem, which includes:

the standardized basic data analysis model library is a data analysis module library which takes a classified multidimensional image library of a specific tendency target crowd as data support, is small in development granularity, low in coupling degree and uniform in interface, is formed by independently operating an input/output interface which performs data analysis and standardization by each analysis module, and is formed by assembling each analysis module based on the standardized basic data analysis model library and combining the service requirements of a user to form a required user service support module.

In this embodiment, on the one hand, based on data support of a specific tendency target crowd grading multidimensional image library, a data analysis component with small granularity, low coupling degree and uniform interface is developed, each analysis model can independently operate to perform data analysis and provide important information clues, and can also form a standardized basic data analysis model library through a standardized input/output interface, so that standardized basic data analysis model libraries can be developed, and standardized basic data analysis models including but not limited to entity discovery, target activity track reduction and tracking, accompanying relationship analysis, information tracing and diffusion analysis, social relationship network reduction and social relationship network mining and the like can be developed; and compiling scripts according to preset standards to quickly assemble a specific data analysis model to form a monitoring, deployment and control perception chain.

On the other hand, based on a standardized basic data analysis model base, by combining with the service requirements of the user, through the assembly of the analysis modules, user service support modules including but not limited to a sensitive topic discovery and tracking module, a group discovery and control module, a group organization structure and personnel relationship analysis module, a group regional abnormal movement monitoring module, a group behavior early warning module, a intra-and-infra specific tendency personnel collusion monitoring module, an information visualization and monitoring module and the like can be formed.

In summary, the present embodiment uses the specific tendency target population grading multidimensional image library as the core database formed by the system, and supports the user to perform diversified business work.

Example 3

The embodiment provides a method for constructing a multi-dimensional image of a crowd with a tendency to crowd, which specifically comprises the following steps:

s1: taking an input method data source as a data source of a crowd to be analyzed;

s1.1, multi-source data acquisition: data is collected based on different input methods including, but not limited to: inputting a text, inputting time, inputting a platform where the text is located, an equipment identification code and a registered account; the input method comprises an Tencent input method, a Baidu input method, a dog searching input method and the like; the data acquired in this way has multiple sources and richness, so that the data is complete and comprehensive, and the subsequent analysis and management of target people are facilitated;

s1.2, multi-source heterogeneous data processing: preprocessing the acquired data, and removing noise information or blank information according to a cleaning mechanism or a screening mechanism; the original data type is complicated, a large amount of irrelevant useless information is possibly contained, and the cleaning or screening effect is achieved through a cleaning mechanism or a screening mechanism, such as removal of stop words, over-short and over-long data, even blank data or specified data source types and the like;

s1.3, establishing a data source base library of an input method: constructing an input method data source base based on the preprocessed data source, performing storage management and establishing a query retrieval mechanism; the method has the advantages that the high-efficiency management, storage, management, query and retrieval of massive text information are realized, so that the subsequent use of the data source and the high-efficiency utilization of a plurality of different analysis directions are facilitated;

s2: constructing a feature library according to an input method data source, wherein the feature library has a certain tendency feature;

s2.1, constructing an initial feature library: constructing an initial feature library at least having a certain tendency feature according to the supervision requirement;

s2.2 hierarchical identification: carrying out attribute grading and identification according to the tendency characteristics of a characteristic library of a supervision department so as to facilitate the supervision department to adopt different tracking or management modes for personnel in different grades, thereby intensively deploying supervision work;

s2.3 feature library supplementation: analyzing and researching the text information in S6, and adding the newly found text information for representing the specific tendency characteristics into the related specific tendency characteristic library;

s2.4, adjusting a feature library: according to the text information input by the target population input method in the S6, the text information for representing the specific tendency characteristics is checked, and the content and the grading identification of the corresponding specific tendency characteristic library are adjusted according to the checking result; adjusting and perfecting the feature library and the grading standard according to the final matching result, thereby continuously improving the screening accuracy of the supervised target population;

s3: matching an input method data source of a crowd to be analyzed with a feature library, and screening out a target crowd with a certain tendency; to determine the risk level or danger, the supervision department takes corresponding treatment measures according to the needs;

s4: extracting input original text data of a target crowd, and constructing a single-channel target crowd image library based on an input method;

s5: deriving individual identification information in a single-channel target crowd image library, pushing the individual identification information to each internet platform, and associating network account numbers of the individual on all internet platforms;

specifically, step S5 includes:

s5.1, deriving individual identification class information in a single-channel target crowd image library, wherein the individual identification class information comprises but is not limited to: the method comprises the steps that when a user uses an input method, the user uses an equipment identification code, the input method registration mobile phone number and the input method registration mailbox;

s5.2, each Internet platform checks the identification information of each individual, provides the account number and the related data information of the individual on the platform, acquires the network account numbers possibly existing on each Internet platform of the target population and associates the network account numbers with each other to form a network account number library of the target population;

s6: performing cross-internet platform network data fusion, fusing heterogeneous network data of each internet platform in the S5, adjusting the specific tendency of the individual according to an analysis result, forming a target crowd grading multidimensional image library, and adjusting and perfecting a relevant tendency grading feature library in the S2;

specifically, step S6 includes:

s6.1, performing data fusion on the data source of the input method of each individual in the target crowd network account database and the data information of each Internet platform;

s6.2, comprehensive research and judgment are carried out according to the fusion data of S6.1, the tendencies of the target population individuals are graded to form a target population graded multi-dimensional image library, and the characteristic library of the tendencies in S2 is adjusted and perfected.

In the embodiment, the relevant data acquired by the input method tool is used as a basic data source, and people with tendentiousness are screened and classified, so that the information of the relevant people can be mastered in time, and the subsequent analysis and management are facilitated; compared with other analysis methods, the method has the advantages of high screening precision, high identification degree of target people, convenience in follow-up management and tracking and the like; the individual of the target population is subjected to multi-platform tracking analysis, and the specific tendentiousness and the grading situation of the specific tendentiousness are comprehensively researched and judged, so that the specific tendentiousness and the grading situation of the tendentiousness of the key attention people are further confirmed and adjusted; the dangerous information propagation crowd is classified and divided, so that the dangerous information propagation source can be mastered in time, and the dangerous information propagation crowd can be conveniently and timely processed in the follow-up process.

The method comprises the steps of intelligently analyzing original data of an input method of part of target people with tendentiousness, extracting new words reflecting the specific tendentiousness, and constructing a corresponding extraction algorithm by text information and combinations of specific terms, dark words, black words, jargon, slogans, acronyms, aliases and the like with a certain degree of distinction, or text information and combinations of names of people, place names, organizational organizations and the like with specific tendentiousness meanings, discovering new words and obscure expressions in time, and continuously updating and perfecting a feature library so as to improve judgment analysis accuracy and screening speed of the tendentiousness.

The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several equivalent substitutions or obvious modifications can be made without departing from the spirit of the invention, and all the properties or uses are considered to be within the scope of the invention.

Claims (10)

1. A multi-dimensional image construction method for crowds with specific tendencies is characterized by comprising the following steps:

s1: taking an input method data source as a data source of a crowd to be analyzed;

s2: constructing at least one feature library according to an input method data source and actual requirements, wherein the feature library has at least one set of specific tendency features;

s3: matching an input method data source of a crowd to be analyzed with a feature library, and screening out a target crowd with at least one specific tendency;

s4: extracting input original text data of a target crowd, and constructing a single-channel target crowd image library based on an input method;

s5: deriving individual identification information in a single-channel target crowd image library, pushing the individual identification information to each internet platform, and associating network account numbers of the individual on all internet platforms;

s6: and (4) performing network data fusion across the Internet platforms, fusing heterogeneous network data of each Internet platform in the S5, adjusting the specific tendency of the individual according to an analysis result, forming a multi-dimensional image library of the target crowd with the specific tendency, and adjusting and perfecting the related tendency grading feature library in the S2.

2. The method for constructing a multi-dimensional image of a specific tendency crowd as claimed in claim 1, wherein the step S5 comprises:

s5.1, deriving individual identification class information in a single-channel target crowd image library, wherein the individual identification class information comprises but is not limited to: the method comprises the steps that when a user uses an input method, the user uses an equipment identification code, the input method registration mobile phone number and the input method registration mailbox;

s5.2, each Internet platform checks the identification information of each individual, provides the account number and the related data information of the individual on the platform, and acquires the network account numbers possibly existing on each Internet platform of the target population and correlates the network account numbers to form a network account number library of the target population.

3. The method for constructing a multi-dimensional image of a specific tendency crowd as claimed in claim 1, wherein the step S6 comprises:

s6.1, performing data fusion on the data source of the input method of each individual in the target crowd network account database and the data information of each Internet platform;

s6.2, comprehensive research and judgment are carried out according to the fusion data of S6.1, the specific tendentiousness and/or the grade of the target crowd individual are/is adjusted, a specific tendentiousness target crowd grading multidimensional image library is formed, and the characteristic library of the relevant tendentiousness in S2 is adjusted and perfected.

4. The method for constructing a multi-dimensional image of a specific tendency crowd as claimed in claim 1, further comprising the step of S7: and (4) the user business support develops different use models according to actual situations by using the data fused in the S5, including but not limited to: entity discovery, target activity track restoration and tracking, companion relationship analysis, information tracing and diffusion analysis, social relationship network restoration and social relationship network mining or other standardized basic data analysis models.

5. The method of claim 1, wherein the multi-dimensional image of the crowd with a specific tendency is constructed,

step S1 includes:

s1.1, multi-source data acquisition: data is collected based on different input methods including, but not limited to: inputting a text, inputting time, inputting a platform where the text is located, an equipment identification code and a registered account;

s1.2, multi-source heterogeneous data processing: preprocessing the acquired data, and removing noise information or blank information according to a cleaning mechanism or a screening mechanism;

s1.3, establishing a data source base library of an input method: constructing an input method data source base based on the preprocessed data source, performing storage management and establishing a query retrieval mechanism;

step S2 includes:

s2.1, constructing an initial feature library: constructing an initial feature library with at least one specific tendency according to actual requirements;

s2.2 hierarchical identification: performing attribute classification and identification on a certain specific tendency of the initial feature library according to a classification standard, and distinguishing the tendency degree when a certain specific tendency feature is represented;

s2.3 feature library supplementation: analyzing and researching the text information in S6, and adding the newly found text information for representing the specific tendency characteristics into the related specific tendency characteristic library;

s2.4, adjusting a feature library: and according to the text information input by the input method of the target population in the S6, checking the text information for representing the specific tendency characteristics, and adjusting the content and the grading identification of the corresponding specific tendency characteristic library according to the checking result.

6. A system for constructing a multi-dimensional image of a population with a specific tendency, comprising:

the input method data source subsystem is used for collecting and storing the input method data information of the crowd to be analyzed;

a tendency feature library subsystem having a set of at least one specific tendency feature information; and

the tendency matching subsystem is used for comparing the data information in the input method data source subsystem with the characteristic information in the tendency characteristic library subsystem, marking the crowd with a certain specific tendency and screening out the target crowd with at least one specific tendency;

the target population network account subsystem associates the network accounts of the individual on all the Internet platforms according to the individual identification information of the target population;

and the cross-internet platform network data fusion subsystem fuses the heterogeneous network data of each internet platform, adjusts the specific tendency of the individual according to the analysis result, forms a multi-dimensional image library of the target crowd with the specific tendency, and adjusts and perfects the related tendency grading feature library.

7. The system for constructing multi-dimensional images of a specific tendency crowd according to claim 6, wherein the network account number subsystem of the target crowd comprises:

the target population individual identification information database outputs equipment identification codes, registered mobile phone numbers, registered mailboxes or other individual identification information related to individual use of the input method from a single-channel target population image library based on the input method of the tendency matching subsystem, and integrates the equipment identification codes, the registered mobile phone numbers, the registered mailboxes or other individual identification information to form the database;

and each internet enterprise checks the target population individual identification information database, and collects the network accounts which are possibly registered on the internet platform operated by the target population individual with a certain/a plurality of specific tendencies to form the target population network account library.

8. The system of claim 6, wherein the cross-platform network data fusion subsystem comprises:

the multi-source heterogeneous network data fusion module is used for performing data fusion on the individual heterogeneous network data with specific tendencies on the plurality of internet platforms and the input method data sources thereof according to the network account database of the target crowd and the network data of the related accounts required by each internet platform;

the comprehensive tendency studying and judging and grading module is used for comprehensively studying and judging the cross-platform fusion data of the individuals, secondarily confirming the specific tendency and the grading thereof and adjusting and perfecting a related tendency grading feature library in the tendency feature library subsystem;

and forming the grading multidimensional image library of the target crowd with the specific tendency according to the analysis and confirmation results of the comprehensive tendency studying and judging and grading module.

9. The system for multi-dimensional imagery construction of a particular tendentious population of people according to claim 6, further comprising a tendentious trait discovery and verification subsystem comprising:

extracting input original text data of a target population of a single-channel target population image library based on an input method in a tendency matching subsystem as a basic data source of the subsystem;

the tendency characteristic finding module is used for extracting text information which is used for representation and is not recorded in the tendency characteristic library subsystem from the original input text library of the target crowd, and supplementing the text information serving as a new characteristic into a corresponding characteristic library after verification;

and the tendency characteristic verification module is used for carrying out secondary comprehensive study and judgment on the input original text data of the target population of the single-channel target population image library based on the input method in the tendency matching subsystem, verifying the tendency and the grading of the target population, and adjusting the content and the grading identification of the tendency characteristic library subsystem according to the verification conclusion.

10. The system of claim 6, further comprising a user service support subsystem comprising:

the standardized basic data analysis model library is a data analysis module which takes a classified multidimensional image library of specific tendency target crowds as data support, is small in granularity, low in coupling degree and uniform in interface, and is formed by independently operating input and output interfaces which are used for data analysis and standardized by the analysis modules;

and the user service support module library is based on the standardized basic data analysis model library, combines the service requirements of the user and assembles each analysis module to form the required user service support module.

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