CN117370424B

CN117370424B - Mobile application comment data analysis mining method and system for economic information analysis

Info

Publication number: CN117370424B
Application number: CN202311666897.7A
Authority: CN
Inventors: 姜陵; 陈晓斌; 宋汝琦; 李阳; 贺鹏飞
Original assignee: Shenzhen Etop Information Co ltd
Current assignee: Shenzhen Etop Information Co ltd
Priority date: 2023-12-07
Filing date: 2023-12-07
Publication date: 2024-02-13
Anticipated expiration: 2043-12-07
Also published as: CN117370424A

Abstract

The invention provides a method and a system for analyzing and mining comment data of mobile application of economic information analysis, which are characterized in that on the basis of basic economic information metering analysis and modeling evaluation, firstly, an inter-subsystem outer chain area is set in an industrial resource metering analysis management subsystem based on different participation angle chromatic aberration in the industry, a comment area managed by a management end mobile application comment subsystem is constructed, and a mobile application comment function of industrial development information is provided based on a preset comment role account number distribution rule. Secondly, based on the association degree of industrial development, comment weights of different roles are introduced, and weighted comment quantification calculation is carried out; and thirdly, through data acquisition and data mining of the comment function of the industrial development information mobile application, a collection function is provided for the industrial development information mobile application comments participated by multiple subjects, so that semantic analysis and data collection of comment information are realized, and the rationalization and informatization degree of economic information metering analysis is improved.

Description

Mobile application comment data analysis mining method and system for economic information analysis

Technical Field

The invention belongs to the technical field of new generation information, and particularly relates to a mobile application comment data analysis mining method and system for economic information analysis.

Background

The economic information metering analysis is taken as a modernization means for executing information processing aiming at objective economic data in the economic statistics process, provides logic basis and data annotation for industrial economic development, and is an effective auxiliary means for industrial planning.

Data processing, and in particular data mining, provides an effective and feasible path for economic information metering analysis. The data mining refers to the steps of finding, collecting, summarizing and classifying specific required data in a big data environment, processing massive data such as the sea and the tobacco by utilizing an information technology, accurately anchoring target data to perform data collection, and providing a data information sample for economic information metering analysis.

In the economic information metering analysis method, data analysis and data mining are indispensable. For industrial economic data acquired in the economic information metering analysis process, how to mine effective data, remove redundancy, perform data classification and data cleaning and basic mathematical analysis, and perform data utilization and modeling on the basis of data analysis are all problems that need to be paid attention to economic information metering analysis.

The existing economic information metering analysis related system is only provided with modules such as data mining, metering analysis, display feedback and the like which are simply connected with each other, the subsystem division is not executed based on the data specific function in function, the functional interconnection and authority isolation among the subsystems are not considered, and meanwhile, the feedback qualification of the differentiated industry decision participation is not fully considered for different industry roles, so that the rationalization degree and the cooperative efficiency of the whole balanced development of the industry are improved.

The invention provides a method and a system for analyzing and mining mobile application comment data for economic information analysis, which are characterized in that on the basis of basic economic information metering analysis and modeling evaluation, firstly, the industrial development balance requirements of enterprise main bodies, industry experts and industry resource coordination processing parties are comprehensively considered based on different participation angle chromatic aberration in an industry, an inter-subsystem outer chain area is arranged in an industrial resource metering analysis management subsystem, a comment area managed by a management end mobile application comment subsystem is constructed, and an industrial development information mobile application comment function is provided based on a preset comment role account allocation rule. Secondly, performing quantitative management on the comment functions of the industrial development information mobile application, introducing comment weights of different roles based on the industrial development association degree, and performing weighted comment quantitative calculation; and thirdly, through data acquisition and data mining of the comment function of the industrial development information mobile application, a collection function is provided for the industrial development information mobile application comments participated by multiple subjects, so that semantic analysis and data collection of comment information are realized, and the rationalization and informatization degree of economic information metering analysis is improved.

Disclosure of Invention

The invention aims to provide a mobile application comment data analysis mining system which is superior to economic information analysis in the prior art.

In order to achieve the above object, the technical scheme of the present invention is as follows:

a mobile application review data analysis mining system for economic information analysis, the system comprising:

the mobile application comment role account pre-configuration subsystem based on economic information metering analysis executes system comment role account pre-configuration, and pre-configures comment role accounts of different types and different ID identifications for different types of system roles;

an industrial resource metering analysis management subsystem, the industrial resource metering analysis management subsystem comprising:

the industrial resource allocation module is used for constructing an industrial resource distribution information first big data information packet based on the industrial resource distribution information acquired by the industrial resource distribution information acquisition unit, transmitting the industrial resource distribution information first big data information packet to an industrial development information integration management end based on a system internal network link, and simultaneously transmitting the industrial resource distribution information first big data information packet to the industrial development information evaluation module;

The industrial resource distribution information at least comprises: industrial resource identification information, industrial resource area information, and various types of industrial resource quantity information, wherein,

the industrial resource identification information at least comprises a system preset identification of the industrial resource and is used for distinguishing different industrial resources;

the industrial resource region information at least comprises region distribution of the industrial resource and is used for distinguishing the region to which the industrial resource belongs;

the industrial resource quantity information at least comprises the quantity of the industrial resources or the economic equivalent of the total quantity of the industrial resources;

the industrial production main body assembly module is used for constructing an industrial main body distribution information second big data information packet based on production capacity information and region information of an industrial production main body, transmitting the industrial main body distribution information second big data information packet to an industrial development information integrated management end based on a system internal network link, and simultaneously transmitting the industrial main body distribution information second big data information packet to an industrial development information evaluation module;

the production capacity information of the industrial production subject characterizes the resource consumption ComC1 and the product output quantity ProC1 in the unit period of the industrial production subject; the region information characterizes regions of the main production bodies in the industries, and the regions of the main production bodies in the industries are different; the C1 is an enterprise identifier of a production main body;

The industrial development information equalization module acquires regional industrial development equalization information, constructs an industrial development equalization information third big data information packet, and sends the industrial development equalization information third big data information packet to an industrial development information integrated management end and simultaneously to an industrial development information evaluation module based on a system internal network link;

the industry development balance information at least comprises:

the regional positioning information is used for marking and distinguishing different geographic regions;

the system administrator of the mobile application comment data analysis mining system for analyzing the economic information carries out quantitative presetting based on the industrial development condition according to the industrial investigation information in the system initialization process;

the system administrator of the mobile application comment data analysis mining system for economic information analysis performs the presetting of the quantized value Dev based on the industrial development status according to the industrial investigation information in the system initialization process, specifically:

for the region of industry development beyond the average industry development rate and the difference value is above a specific value, the quantized value Dev is preset to be K1, and the K1 is a percentage smaller than 1 and larger than 0;

For the region where the difference between the industrial development and the average industrial development rate is within a specific cell, the quantized value Dev is preset to be K2, and K2 is 1;

for the region with the industrial development lower than the average industrial development rate and the difference value above a specific value, the quantized value Dev is preset to be K3, and the K3 is a percentage larger than 1;

the industrial development information evaluation module is used for determining a quantized value Dev in industrial development balance information corresponding to a specific industrial body according to the region based on the first big data information packet of the industrial resource distribution information, the second big data information packet of the industrial body distribution information and the third big data information packet of the industrial development balance information, and evaluating the resource demand AppD1 of the specific region DisD1 based on the quantized value Dev and the sum of ComC1 of all industrial bodies in the specific region based on the quantized value Dev; the D1 is an area identifier of a specific area; the industry development information evaluation module sends the resource demand amount AppD1 to an industry development information integration management end;

the industrial development information integrated management end receives the resource demand AppD1 of a plurality of areas through a system inner link based on the first big data information packet of the industrial resource distribution information, the second big data information packet of the industrial main body distribution information and the third big data information packet of the industrial development balance information, displays the resource demand AppD1 of each area, the industrial resource distribution information and the industrial main body distribution information of each area in a visual mode for a system manager, and provides the system manager with decision for industrial development based on diversified data variables;

The management end mobile application comment subsystem is connected with the industry development information integration management end and is provided with a mobile application comment area;

the management side mobile application comment subsystem comprises: the comment role confirmation module is used for confirming a plurality of comment role accounts for evaluation experts, industry production subjects, resource distribution administrators and the like; the comment area processing module is used for displaying and managing comment area contents;

the mobile application comment data mining subsystem comprises a semantic mining module, wherein the semantic mining module is used for collecting comment contents of a comment area of the management-side mobile application comment subsystem and classifying comments into opinion classes and evaluation classes based on a specific artificial intelligence semantic algorithm; the evaluation class is to confirm the evaluation in a preset option in a checking mode;

the mobile application comment data mining subsystem further comprises an evaluation grade determining module, wherein the evaluation grade determining module is used for pushing the evaluation comment to an evaluation expert, and the evaluation expert determines the evaluation according to the evaluation comment content.

Preferably, the evaluation level determining module is configured to push the evaluation class comment to an evaluation expert, and the evaluation expert determines the score according to the evaluation class comment content, specifically:

The method comprises the steps of presetting three types of preset options for confirming evaluation, namely effective evaluation, ineffective evaluation and no evaluation, wherein the preset options are used for checking an evaluation object, an evaluation grade determining module pushes the evaluation class comment checking condition to an evaluation expert, an evaluation role account judges the evaluation according to evaluation class comment checking content, the checking effectiveness is 1 score, the checking invalidity is-1 score, no evaluation is checked, and the evaluation grade determining module further determines the total score of the evaluation class comments based on the total number of the evaluation class comments.

Preferably, the mobile application comment role account pre-configuration subsystem based on economic information metering analysis performs system comment role account pre-configuration, and pre-configures comment role accounts with different types and different ID identifications for different types of system roles, specifically:

aiming at an evaluation expert, a first type sub-account is distributed, the first type sub-account is an expert comment, and a first type sub-account weight and a first type sub-account ID are set;

the method comprises the steps of distributing a second type sub-account for an industrial production main body, wherein the second type sub-account is an enterprise-level comment, and setting a second type sub-account weight and a second type sub-account ID;

a third type sub-account is distributed for a resource distribution manager, the third type sub-account is a resource level comment, and a third type sub-account weight and a third type sub-account ID are set;

The sub-account weights at each level may be preset by a system administrator and weighted in performing a determination of the total score of the evaluation class reviews based on the total number of the evaluation class reviews.

Preferably, the estimating the resource demand amount AppD1 of the specific area DisD1 based on the sum of all the industrial subjects ComC1 in the specific area and the quantized value Dev is specifically:

appd1=sum of ComC1 in area.

Preferably, the industry development information integrated management end is a mobile device end, or the industry development information integrated management end is a server device end.

Preferably, the integrated management end of the industrial development information is connected with the mobile application comment subsystem in the process of information display, and a special application comment area is arranged through the mobile application comment subsystem of the management end, wherein the comment area is provided with comment and suggestion information feedback functions for evaluation experts, industrial production subjects and resource collection and distribution administrators.

Meanwhile, the invention also provides a mobile application comment data analysis mining method for economic information analysis, which is applied to the industrial resource allocation management system, and comprises the following steps:

Step one: a mobile application comment role account pre-configuration subsystem based on economic information metering analysis is used for executing system comment role account pre-configuration, and comment role accounts of different types and different ID identifications are pre-configured for different types of system roles;

step two: initializing an industrial resource metering analysis management subsystem to perform industrial resource metering analysis management, the industrial resource metering analysis management subsystem comprising:

The industry development balance information at least comprises:

Step three: connecting the industrial development information integrated management end by using a management end mobile application comment subsystem, and setting a mobile application comment area;

step four: the method comprises the steps that a semantic mining module and an evaluation level determining module of a mobile application comment data mining subsystem are used, the semantic mining module is used for collecting comment contents of a comment area of the management end mobile application comment subsystem, and the evaluation is classified into a comment class and an evaluation class based on a specific artificial intelligence semantic algorithm; the evaluation class is to confirm the evaluation in a preset option in a checking mode;

appd1=sum of ComC1 in area.

In conjunction therewith, the invention also proposes a computer-readable storage medium in which a processor-executable program is stored, which, when being executed by a processor, is adapted to carry out the method of any of the preceding claims.

In conjunction therewith, the invention also proposes an informationized data processing apparatus comprising a processor, a memory, wherein the memory comprises a computer readable storage medium, in which a processor executable program is stored, which processor executable program, when being executed by the processor, is adapted to carry out a method according to any of the preceding claims.

Drawings

FIG. 1 is a basic system architecture diagram of a mobile application comment data analysis mining system for economic information analysis of the present invention;

FIG. 2 is a schematic diagram of a preferred embodiment of a system architecture of a management side mobile application comment subsystem in the mobile application comment data analysis mining system for economic information analysis according to the present invention;

FIG. 3 is a schematic diagram of a preferred embodiment of a system architecture of a mobile application comment data mining subsystem in a mobile application comment data analysis mining system for economic information analysis according to the present invention;

FIG. 4 is a schematic diagram of a preferred embodiment of a mobile application comment data analysis mining method process for economic information analysis, according to the present invention;

FIG. 5 is a schematic diagram of a preferred embodiment of the steps of the mobile application comment data analysis mining method of the present invention using a mobile application comment data mining subsystem portion of the economic information analysis.

Detailed Description

Several embodiments and advantages of the mobile application review data analysis mining system and method of the claimed economic information analysis are described in detail below to facilitate more detailed review and resolution of the present invention.

For a better understanding of the technical solution of the present invention, the following detailed description of the embodiments of the present invention refers to the accompanying drawings.

It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.

It should be understood that although the terms first, second, etc. may be used in embodiments of the invention to describe a method and corresponding device, these terms should not be limited to these terms. These terms are only used to distinguish keywords from one another. For example, a first big data packet, a first type sub-account, etc. may also be referred to as a second big data packet, a second type sub-account, etc. without departing from the scope of the embodiments of the present invention, and similarly, a second type sub-account, a second big data packet, etc. may also be referred to as a first type sub-account, a first big data packet.

Depending on the context, the word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to detection". Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.

As shown in fig. 1 to fig. 3 of the specification, the mobile application comment data analysis mining system for economic information analysis according to the present invention and one of its specific embodiment of the included module include:

The industry development balance information at least comprises:

As a stackable preferred embodiment, the K1 and K3 may be different for each different area, and specific values of the K1 and K3 may be preset in the system initialization process, or may be selected by a system administrator in a specific interval according to the industrial development situation of each area.

As a stackable preferred embodiment, the specific value may be a system preset value, for example 20%.

As another stackable preferred embodiment, K1 is randomly selected between intervals (60% -95%), or the smaller K1 is preset to a specific value by the system administrator according to the principle that the larger the difference of industry development beyond the average industry development rate is; the K3 is randomly selected among intervals (105% -150%), or the larger the difference value of the industrial development lower than the average industrial development rate is, the larger the K1 is, the specific value is preset by a system administrator.

As another stackable preferred embodiment, the evaluation level determining module is configured to push the evaluation class comment to an evaluation expert, where the evaluation expert determines a score according to the evaluation class comment content, specifically:

As another stackable preferred embodiment, the mobile application comment role account pre-configuration subsystem based on economic information metering analysis performs system comment role account pre-configuration, and pre-configures comment role accounts with different types and different ID identifications for multiple types of different system roles, specifically:

As a stackable preferred embodiment, aiming at an evaluation expert, a first type sub-account is distributed, wherein the first type sub-account is expert comment, and a first type sub-account weight and a first type sub-account ID are set; the method comprises the steps of distributing a second type sub-account for an industrial production main body, wherein the second type sub-account is an enterprise-level comment, and setting a second type sub-account weight and a second type sub-account ID; a third type sub-account is distributed for a resource distribution manager, the third type sub-account is a resource level comment, and a third type sub-account weight and a third type sub-account ID are set;

The weights of the sub-account numbers at each level can be preset by a system administrator and weighted in the process of determining the total score of the evaluation type comments based on the total number of the evaluation type comments, and specifically can be as follows:

the weights of the sub-accounts at each level may be preset by a system administrator, for example, the weights of the sub-accounts of the first type are 135%, the weights of the sub-accounts of the second type are 115%, and the weights of the sub-accounts of the third type are 155%, and the weighting in the process of determining the total score of the evaluation type comment based on the total number of the evaluation type comment is specifically: when the evaluation role account judges the evaluation according to the evaluation type comment choosing content, if the choosing option is valid in a single evaluation, the first type sub-account score is 135%, the second type sub-account score is 115%, and the third type sub-account score is 155%; if the check option is invalid in the single evaluation, the first type sub-account score is-135%, the second type sub-account score is-115%, and the third type sub-account score is-155%.

As a stackable preferred embodiment, the estimating the resource demand AppD1 of the specific area DisD1 based on the sum of all industrial subjects ComC1 inside the specific area and the quantized value Dev is specifically:

Appd1=sum of ComC1 in area.

As another stackable preferred embodiment, the evaluation of the resource demand amount AppD1 of the specific area DisD1 based on the sum of ComC1 of all industrial subjects in the specific area and the quantized value Dev, specifically, appd1=the sum of ComC1 in the area may be referred to as the following example: if the total sum of the industrial production subjects ComC1 in the specific area D3 is 35000 kw standard electric power equivalent, the difference between the industrial development level and the average industrial development rate is above a specific value (for example, 20% above the average industrial development rate), so that the system administrator presets the quantized value Dev of the specific area D3 to K1 during the initialization process or during the evaluation process, the K1 is 75%, so that the resource demand amount AppD1 of the area DisD1 is 35000 kw standard electric power equivalent, 75% =26250 kw standard electric power equivalent, and the information integration management end is provided as the basis of the system management decision.

It should be noted that the specific area DisD1 may refer to any area, and D1 is only an ordinal number for identifying an area and distinguishing other areas, and does not represent any specific area. It may also be written as DisD2 or DisD3, etc.

As a stackable preferred embodiment, the industry development information integrated management end is a mobile device end, or the industry development information integrated management end is a server device end.

As a stackable preferred embodiment, the industrial development information integrated management end is connected with the management end mobile application comment subsystem in the process of information display, and a special application comment area is arranged through the management end mobile application comment subsystem, wherein the comment area is provided with comment and suggestion information feedback functions for evaluation experts, industrial production subjects and resource collection and distribution administrators.

Meanwhile, as shown in fig. 4-5 of the specification, the invention also provides a mobile application comment data analysis mining method for economic information analysis, the method is applied to the industrial resource allocation management system, and the method comprises the following steps:

step S102: a mobile application comment role account pre-configuration subsystem based on economic information metering analysis is used for executing system comment role account pre-configuration, and comment role accounts of different types and different ID identifications are pre-configured for different types of system roles;

step S104: initializing an industrial resource metering analysis management subsystem to perform industrial resource metering analysis management, the industrial resource metering analysis management subsystem comprising:

Using an industrial resource allocation module to construct an industrial resource distribution information first big data information packet based on industrial resource distribution information acquired by an industrial resource distribution information acquisition device, and sending the industrial resource distribution information first big data information packet to an industrial development information integrated management end and simultaneously to an industrial development information evaluation module based on a system internal network link;

using an industrial production main body assembly module to construct an industrial main body distribution information second big data information packet based on production capacity information and region information of an industrial production main body, and sending the industrial main body distribution information second big data information packet to an industrial development information integrated management end and an industrial development information evaluation module simultaneously based on a system internal network link;

the method comprises the steps of obtaining regional industrial development balance information by using an industrial development information balance module, constructing an industrial development balance information third big data information packet, and sending the industrial development balance information third big data information packet to an industrial development information integrated management end and simultaneously to an industrial development information evaluation module based on a system internal network link;

the industry development balance information at least comprises:

Using an industry development information evaluation module to confirm a quantized value Dev in industry development balance information corresponding to a specific industry main body according to a region based on the first big data information packet of the industry resource distribution information, the second big data information packet of the industry main body distribution information and the third big data information packet of the industry development balance information, and evaluate resource demand AppD1 of the specific region DisD1 according to the quantized value Dev based on the sum of ComC1 of all the industry main bodies in the specific region; the D1 is an area identifier of a specific area; the industry development information evaluation module sends the resource demand amount AppD1 to an industry development information integration management end;

the method comprises the steps that an industry development information integration management end is used for receiving resource demand AppD1 of a plurality of areas through a system inner link based on a first big data information packet of the industry resource distribution information, a second big data information packet of the industry main body distribution information and a third big data information packet of the industry development balance information, displaying the resource demand AppD1 of each area, the industry resource distribution information and the industry main body distribution information in a visual mode for a system administrator, and providing the system administrator with decision for industry development based on diversified data variables;

Step S106: connecting the industrial development information integrated management end by using a management end mobile application comment subsystem, and setting a mobile application comment area;

step S108: the method comprises the steps that a semantic mining module and an evaluation level determining module of a mobile application comment data mining subsystem are used, the semantic mining module is used for collecting comment contents of a comment area of the management end mobile application comment subsystem, and the evaluation is classified into a comment class and an evaluation class based on a specific artificial intelligence semantic algorithm; the evaluation class is to confirm the evaluation in a preset option in a checking mode;

appd1=sum of ComC1 in area.

As another stackable preferred embodiment, the industry development information integrated management end is a mobile device end, or the industry development information integrated management end is a server device end.

As another stackable preferred embodiment, the industrial development information integrated management end is connected with the management end mobile application comment subsystem in the process of information display, and a special application comment area is arranged through the management end mobile application comment subsystem, wherein the comment area is provided with comment and suggestion information feedback functions for evaluation experts, industrial production subjects and resource collection and distribution administrators.

In all the above embodiments, in order to achieve the requirements of some special data transmission and read/write functions, devices, modules, devices, hardware, pin connections or memories and processor differences may be added to the operation process of the above method and the corresponding devices to expand the functions.

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described method, apparatus and unit may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided in the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of method steps is merely a logical or functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as the steps of the method and the separation components of the device may or may not be logically or physically separated, may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each method step, implementation and functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.

The above-described methods and apparatus may be implemented as integrated units in the form of software functional units, which may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a Processor (Processor) to perform part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an NVRAM, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.

It should be noted that: the above embodiments are only for more clearly explaining and illustrating the technical solution of the present invention, and are not limiting thereof; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A mobile application review data analysis mining system for economic information analysis, the system comprising:

an industrial resource metering analysis management subsystem, the industrial resource metering analysis management subsystem comprising: the industrial resource allocation module is used for constructing an industrial resource distribution information first big data information packet based on the industrial resource distribution information acquired by the industrial resource distribution information acquisition unit, transmitting the industrial resource distribution information first big data information packet to an industrial development information integration management end based on a system internal network link, and simultaneously transmitting the industrial resource distribution information first big data information packet to the industrial development information evaluation module; the industrial resource distribution information at least comprises: the system comprises industrial resource identification information, industrial resource area information and various types of industrial resource quantity information, wherein the industrial resource identification information at least comprises a system preset identification of the industrial resource and is used for distinguishing different industrial resources; the industrial resource region information at least comprises region distribution of the industrial resource and is used for distinguishing the region to which the industrial resource belongs; the industrial resource quantity information at least comprises the quantity of the industrial resources or the economic equivalent of the total quantity of the industrial resources;

The industry development balance information at least comprises:

2. The mobile application comment data analysis mining system of economic information analysis according to claim 1, wherein the evaluation level determining module is configured to push the evaluation class comment to an evaluation expert, and the evaluation expert determines a score according to the evaluation class comment content, specifically:

3. The mobile application comment data analysis mining system for economic information analysis according to claim 1, wherein the mobile application comment role account pre-configuration subsystem based on economic information metering analysis performs system comment role account pre-configuration, and pre-configures comment role accounts of different types and different ID identifications for multiple types of different system roles, specifically:

4. The system for analyzing and mining mobile application comment data of economic information according to claim 3, wherein said integrated management end of industrial development information is a mobile device end, or said integrated management end of industrial development information is a server device end; the industrial development information integrated management end is connected with the management end mobile application comment subsystem in the information display executing process, and a special application comment area is arranged through the management end mobile application comment subsystem, wherein the comment area is provided with comment and suggestion information feedback functions for evaluation experts, industrial production subjects and resource collection and distribution administrators.

5. A mobile application comment data analysis mining method of economic information analysis, the method being applied to the industrial resource allocation management system of claim 1, the method comprising the steps of:

The industry development balance information at least comprises:

6. The mobile application comment data analysis mining method of economic information analysis according to claim 5, wherein the evaluation level determining module is configured to push the evaluation class comment to an evaluation expert, and the evaluation expert determines a score according to the evaluation class comment content, specifically:

7. The method for mining comment data analysis of mobile application of economic information analysis according to claim 5, wherein the mobile application comment role account pre-configuration subsystem based on economic information metering analysis performs system comment role account pre-configuration, and pre-configures comment role accounts of different types and different ID identifications for different types of system roles, specifically:

8. The method for analyzing and mining mobile application comment data for economic information analysis according to claim 7, wherein the integrated management end of the industrial development information is a mobile device end, or the integrated management end of the industrial development information is a server device end; the industrial development information integrated management end is connected with the management end mobile application comment subsystem in the information display executing process, and a special application comment area is arranged through the management end mobile application comment subsystem, wherein the comment area is provided with comment and suggestion information feedback functions for evaluation experts, industrial production subjects and resource collection and distribution administrators.

9. A computer readable storage medium, in which a processor executable program is stored, characterized in that the processor executable program is for performing the method according to any of claims 5-8 when being executed by a processor.

10. An informative data processing apparatus comprising a processor, a memory, wherein the memory comprises a computer readable storage medium in which a processor executable program is stored, which when executed by the processor is adapted to carry out the method according to any one of claims 5-8.