CN117312634B - Artificial intelligence data integration and propagation processing system - Google Patents
Artificial intelligence data integration and propagation processing system Download PDFInfo
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- CN117312634B CN117312634B CN202311608525.9A CN202311608525A CN117312634B CN 117312634 B CN117312634 B CN 117312634B CN 202311608525 A CN202311608525 A CN 202311608525A CN 117312634 B CN117312634 B CN 117312634B
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- 238000012545 processing Methods 0.000 title claims abstract description 51
- 230000010354 integration Effects 0.000 title claims abstract description 22
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 15
- 238000007405 data analysis Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 6
- 230000009193 crawling Effects 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims description 2
- 238000012216 screening Methods 0.000 abstract description 2
- 238000004458 analytical method Methods 0.000 description 3
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- 238000007726 management method Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention is suitable for the technical field of information screening processing systems, and provides an artificial intelligence data integration and propagation processing system, which comprises: the data acquisition module is used for acquiring real-time data on the network and performing simple data processing on the real-time data; the data processing center is connected with the data acquisition module and used for analyzing and processing the real-time data and the historical data acquired by the data acquisition module; the data storage center is connected with the data processing center and used for storing the data processed by the data processing center; the application platform is used for displaying data processed by the data storage center and transmitting corresponding data information to the corresponding client, so that the system for automatically processing the collected various public opinion information is arranged, different public opinion information can be collected and processed according to different client requirements, and the public opinion information can be automatically fed back to the corresponding client in time, so that the client can know the public opinion information in time.
Description
Technical Field
The invention relates to the technical field of information screening processing systems, in particular to an artificial intelligence data integration and propagation processing system.
Background
With the rapid development of economy, the development of urban traffic is accelerated, the traffic news information amount is larger and larger, and the demands of traffic management department on controlling the current traffic information and public opinion are stronger. In the prior art, internet news such as websites, microblogs, weChat and the like are collected through the following two technologies.
In the prior art, the method for collecting and processing public opinion information in the internet is to obtain public opinion news content related to a specific information management department and monitor and manage the news public opinion content through internet news channels such as websites, microblogs and WeChats, and the method mainly adopts the analysis processing mode from information monitoring, data collection, content analysis to business processing and statistics and judgment or manual analysis processing, so that the automation cannot be fully realized.
In summary, it is clear that the prior art has inconvenience and defects in practical use, so that improvement is needed.
Disclosure of Invention
Aiming at the defects, the invention aims to provide an artificial intelligence data integration and transmission processing system which can automatically process various collected public opinion information by arranging a system for automatically processing the collected public opinion information, ensure that different public opinion information can be collected and processed according to different client requirements, automatically feed back the public opinion information to corresponding clients in time, and facilitate the clients to know the public opinion information in time.
To achieve the above object, the present invention provides an artificial intelligence data integration propagation processing system, including: the data acquisition module is used for acquiring real-time data on the network, performing simple data processing on the real-time data and acquiring historical data at the same time; the data processing center is connected with the data acquisition module and used for analyzing and processing the real-time data and the historical data acquired by the data acquisition module; the data storage center is connected with the data processing center, stores the data processed by the data processing center and ensures that the data processing center can call the data of the data storage center; the application platform is used for displaying the data processed by the data storage center and transmitting the corresponding data information to the corresponding client.
According to the artificial intelligence data integration propagation processing system of the invention, the data storage center comprises:
the business library comprises a user table, a client table, an industry table and a media table which are stored in the business library;
the data analysis library is connected with the service library and is used for carrying out data clustering, data classification, data source processing and keyword processing on the data;
the full text index library comprises a public opinion case index, an original public opinion data index, a data report index and a treatment scheme index.
According to the artificial intelligent data integration and propagation processing system, the client table at least comprises client basic information and client bidding company information, and the user table, the client table, the industry table and the media table are mutually related.
The data warehouse is connected with the data analysis library and the full-text index library and comprises an original public opinion library, a public opinion case library, a treatment scheme library and a public opinion report library.
According to the artificial intelligence data integration and propagation processing system, the data analysis library classifies risk levels of public opinion information, wherein the public opinion information comprises malicious public opinion information, negative public opinion information and other public opinion information.
According to the artificial intelligent data integration and propagation processing system, the data acquisition module performs real-time crawling on real-time information on the internet in a crawler mode, synchronously acquires comment information of the real-time information and basic information of a sender of the real-time information, acquires historical public opinion information, and compares the acquired real-time information with the historical public opinion information.
According to the artificial intelligent data integration and propagation processing system, the data analysis base analyzes the real-time information acquired by the data acquisition module, divides the real-time information into malicious public opinion information, negative public opinion information and other public opinion information according to the data type of the real-time information, and processes corresponding data.
According to the artificial intelligent data integration and propagation processing system, the data analysis library analyzes the obtained real-time information, and firstly, whether the real-time information is negative public opinion information is judged by analyzing keywords of the real-time information:
if the real-time information is judged not to be negative public opinion information, the corresponding real-time information is divided into other public opinion information;
if the real-time information is judged to be negative public opinion information, the data analysis base continues to collect the real-time information and judges whether the real-time information is malicious public opinion information.
According to the artificial intelligent data integration and propagation processing system, negative public opinion information is judged, malicious public opinion information in the negative public opinion information is judged and proposed, and corresponding real-time information is divided into the malicious public opinion information.
According to the artificial intelligent data integration and propagation processing system, the publisher ID of the negative public opinion information is collected, the publisher ID and the client bidding company ID are compared, and when the publisher ID is the same as the client bidding company ID, the corresponding negative public opinion information is divided into malicious public opinion information;
otherwise, collecting regional information of commentators of the negative public opinion information, comparing the regional information of the commentators, and dividing the corresponding negative public opinion information into malicious public opinion information when the comment rate of the same region is more than 60% in the regional information of the commentators.
According to the artificial intelligent data integration and propagation processing system, negative public opinion information and malicious public opinion information after division are compared with the public opinion case base, and the same or similar case treatment scheme is found and pushed to the corresponding user mobile terminal; when the corresponding same or similar case libraries are not searched, the corresponding malicious public opinion information is sent to the hands of the processing personnel to perform manual operation, and a disposal scheme is generated and prestored in the disposal scheme library.
The invention provides an artificial intelligence data integration and propagation processing system, which comprises: the data acquisition module is used for acquiring real-time data on the network, performing simple data processing on the real-time data, acquiring historical data, comparing and analyzing the historical data with the real-time data, ensuring that the real-time data is classified, and finding out corresponding information; the data processing center is connected with the data acquisition module and is used for analyzing and processing the real-time data and the historical data acquired by the data acquisition module, analyzing whether the real-time data belongs to a corresponding data type or not and making a corresponding treatment scheme aiming at the corresponding data type; the data storage center is connected with the data processing center, stores the data processed by the data processing center, ensures that the data processing center can call the data of the data storage center, and ensures that the data can be called and stored when the data is needed; the application platform is used for displaying data processed by the data storage center, transmitting corresponding data information to the corresponding client and presenting a final result to a user.
Drawings
FIG. 1 is a control schematic of the present invention;
FIG. 2 is a schematic diagram of a data processing center of the present invention.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the accompanying drawings and examples, it being understood that the specific examples described herein are for illustration only and are not intended to limit the present invention.
Referring to fig. 1 and 2, the present invention provides an artificial intelligence data integration propagation processing system, which includes: the data acquisition module is used for acquiring real-time data on the network, performing simple data processing on the real-time data, acquiring historical data, comparing and analyzing the historical data with the real-time data, ensuring that the real-time data is classified, and finding out corresponding information; the data processing center is connected with the data acquisition module and is used for analyzing and processing the real-time data and the historical data acquired by the data acquisition module, analyzing whether the real-time data belongs to a corresponding data type or not and making a corresponding treatment scheme aiming at the corresponding data type; the data storage center is connected with the data processing center, stores the data processed by the data processing center, ensures that the data processing center can call the data of the data storage center, and ensures that the data can be called and stored when the data is needed; the application platform is used for displaying data processed by the data storage center, transmitting corresponding data information to corresponding clients and presenting a final result to a user, and meanwhile, the data storage center comprises: the business library comprises a user table, a client table, an industry table and a media table which are stored in the business library; the data analysis library is connected with the service library and is used for carrying out data clustering, data classification, data source processing and keyword processing on the data; the full text index library comprises a public opinion case index, an original public opinion data index, a data report index and a treatment scheme index.
Preferably, the data analysis library classifies risk levels of public opinion information, wherein the public opinion information comprises malicious public opinion information, negative public opinion information and other public opinion information, the data acquisition module crawls real-time information on the internet in a crawler mode, synchronously acquires comment information of the real-time information and basic information of a sender of the real-time information, acquires historical public opinion information, compares the acquired real-time information with the historical public opinion information, analyzes the real-time information acquired by the data acquisition module according to the data types of the real-time information, and divides the real-time information into the malicious public opinion information, the negative public opinion information and the other public opinion information and processes corresponding data.
In addition, the data analysis library analyzes the obtained real-time information, and judges whether the real-time information is negative public opinion information or not by analyzing keywords of the real-time information: if the real-time information is judged not to be negative public opinion information, the corresponding real-time information is divided into other public opinion information; if the real-time information is judged to be negative public opinion information, the data analysis library continuously collects the real-time information, judges whether the real-time information is malicious public opinion information, ensures that the malicious public opinion information is timely fed back to the hands of the clients, and reduces the loss of the clients caused by the public opinion information.
Further, when negative public opinion information is judged, malicious public opinion information in the negative public opinion information is judged and proposed, corresponding real-time information is divided into the malicious public opinion information, the publisher ID of the negative public opinion information is collected, the publisher ID and the client bid company ID are compared, when the publisher ID is the same as the client bid company ID, the corresponding negative public opinion information is divided into the malicious public opinion information, the behavior of malicious manufacturing public opinion made by the bid company is discovered as soon as possible, countermeasures are made to the behavior, and the loss of the malicious public opinion to the client is reduced;
otherwise, the regional information of the commentators of the negative public opinion information is collected, the regional information of the commentators is compared, when the regional information of the commentators commentary in the same region is larger than 60%, the repeated commentary rate in the same region is higher, and the possibility of malicious commentary exists, so that the corresponding negative public opinion information is divided into the malicious public opinion information, whether the corresponding commentary region of the negative public opinion is concentrated or not can be obtained by analyzing the commentary region, malicious commentary of the negative public opinion by people in the malicious selling region is prevented, and the malicious guidance of the public opinion is caused, so that irrecoverable loss is caused to the current personnel.
Then, comparing the negative public opinion information and the malicious public opinion information after the division with the public opinion case library, finding out the same or similar case treatment scheme and pushing the same or similar case treatment scheme to the corresponding user mobile terminal; when the corresponding same or similar case libraries are not searched, the corresponding malicious public opinion information is sent to the hands of the processing personnel to be manually operated, a disposal scheme is generated and prestored in the disposal scheme library, the generation of the disposal scheme for the negative public opinion information and the malicious public opinion information is ensured, suggestions are made on the disposal mode of the current person, and various losses caused by public opinion are reduced.
In summary, the present invention provides an artificial intelligence data integration propagation processing system, including: the data acquisition module is used for acquiring real-time data on the network, performing simple data processing on the real-time data, acquiring historical data, comparing and analyzing the historical data with the real-time data, ensuring that the real-time data is classified, and finding out corresponding information; the data processing center is connected with the data acquisition module and is used for analyzing and processing the real-time data and the historical data acquired by the data acquisition module, analyzing whether the real-time data belongs to a corresponding data type or not and making a corresponding treatment scheme aiming at the corresponding data type; the data storage center is connected with the data processing center, stores the data processed by the data processing center, ensures that the data processing center can call the data of the data storage center, and ensures that the data can be called and stored when the data is needed; the application platform is used for displaying data processed by the data storage center, transmitting corresponding data information to the corresponding client and presenting a final result to a user.
Of course, the present invention is capable of other various embodiments and its several details are capable of modification and variation in light of the present invention, as will be apparent to those skilled in the art, without departing from the spirit and scope of the invention as defined in the appended claims.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", etc. may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
Claims (6)
1. An artificial intelligence data integration propagation processing system, comprising:
the data acquisition module is used for acquiring real-time data on the network, performing simple data processing on the real-time data and acquiring historical data at the same time;
the data processing center is connected with the data acquisition module and used for analyzing and processing the real-time data and the historical data acquired by the data acquisition module;
the data storage center is connected with the data processing center, stores the data processed by the data processing center and ensures that the data processing center can call the data of the data storage center, and the data storage center comprises: the business library comprises a user table, a client table, an industry table and a media table which are stored in the business library; the data analysis library is connected with the service library and is used for carrying out data clustering, data classification, data source processing and keyword processing on the data; the full-text index library comprises a public opinion case index, an original public opinion data index, a data report index and a disposal scheme index; the data warehouse is connected with the data analysis library and the full-text index library and comprises an original public opinion library, a public opinion case library, a treatment scheme library and a public opinion report library;
the application platform is used for displaying the data processed by the data storage center and transmitting the corresponding data information to the corresponding client;
the data analysis library analyzes the obtained real-time information, and judges whether the real-time information is negative public opinion information or not by analyzing keywords of the real-time information: if the real-time information is judged not to be negative public opinion information, the corresponding real-time information is divided into other public opinion information; if the real-time information is judged to be negative public opinion information, the data analysis library continues to collect the real-time information, judges whether the real-time information is malicious public opinion information, judges and puts forward the malicious public opinion information in the negative public opinion information, divides the corresponding real-time information into the malicious public opinion information, collects the publisher ID of the negative public opinion information, compares the publisher ID with the client bidding company ID, and divides the corresponding negative public opinion information into the malicious public opinion information when the publisher ID is the same as the client bidding company ID; otherwise, collecting regional information of commentators of the negative public opinion information, comparing the regional information of the commentators, and dividing the corresponding negative public opinion information into malicious public opinion information when the comment rate of the same region is more than 60% in the regional information of the commentators.
2. The artificial intelligence data integration propagation processing system of claim 1, wherein the client table includes at least client basic information and client bid company information, and wherein the user table, the client table, the industry table and the media table are associated with each other.
3. The artificial intelligence data integration propagation processing system of claim 2, wherein the data analysis library categorizes risk levels of public opinion information including malicious public opinion information, negative public opinion information, and other public opinion information.
4. The artificial intelligence data integration and propagation processing system according to claim 3, wherein the data acquisition module performs real-time crawling on real-time information on the internet in a crawler manner, synchronously acquires comment information of the real-time information and basic information of a sender of the real-time information, acquires historical public opinion information, and compares the acquired real-time information with the historical public opinion information.
5. The system of claim 4, wherein the database analyzes the real-time information collected by the data collection module, classifies the real-time information into malicious public opinion information, negative public opinion information and other public opinion information according to the data type of the real-time information, and processes the corresponding data.
6. The system of claim 5, wherein the negative public opinion information and the malicious public opinion information after the division are compared with the public opinion case library, and the same or similar case treatment schemes are found and pushed to the corresponding user mobile terminal; when the corresponding same or similar case libraries are not searched, the corresponding malicious public opinion information is sent to the hands of the processing personnel to perform manual operation, and a disposal scheme is generated and prestored in the disposal scheme library.
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