CN111160738A - Event processing method and device, storage medium and electronic device - Google Patents
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Abstract
The invention discloses an event processing method, an event processing device, a storage medium and an electronic device, wherein the event processing method comprises the following steps: determining public sentiment parameters matched with the food safety events in a knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety; inputting the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the higher the public opinion influence score is, the greater the public opinion influence is; determining a processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety events; the food safety events are processed in the processing order indicated by the processing priority. The invention solves the problem of low timeliness of the current food safety event processing.
Description
Technical Field
The present invention relates to the field of computers, and in particular, to an event processing method, an event processing apparatus, a storage medium, and an electronic apparatus.
Background
At present, once a food safety negative event occurs, diffusion and propagation can occur rapidly, and for a food safety supervision department, food safety public sentiment needs to be estimated so as to process the food safety event in time before the diffusion and propagation of the public sentiment have a great influence.
Food safety supervision departments generally estimate the propagation and diffusion speed and the potential influence of negative events of food safety according to human experiences, so as to estimate the food safety public sentiment. In practice, it is found that the prediction of the food safety public opinion according to human experience has strong dependence on human experience, and the difference between human experiences of different workers is large, so that the prediction accuracy of the food safety public opinion is low, and food safety events with large influence on the public opinion are often not processed in time, so that the problem that the processing timeliness is low exists in the current food safety event processing mode is solved.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an event processing method, an event processing device, a storage medium and an electronic device, which are used for at least solving the technical problem of low timeliness of current food safety event processing.
According to an aspect of an embodiment of the present invention, there is provided an event processing method, including: determining public sentiment parameters matched with the food safety events in a knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety; inputting the public opinion parameters into a public opinion influence score evaluation system to obtain a public opinion influence score corresponding to the food safety event, wherein the public opinion influence score is higher and the public opinion influence is larger; determining a processing priority of the food safety event according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety event; and processing the food safety events according to the processing sequence indicated by the processing priority.
According to another aspect of the embodiments of the present invention, there is also provided an event processing apparatus, including: the first determining unit is used for determining public sentiment parameters matched with the food safety events in a knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise a public sentiment propagation path and a public sentiment influence degree, and the food safety events are negative events related to food safety; a first obtaining unit, configured to input the public opinion parameters into a public opinion influence score evaluation system, and obtain a public opinion influence score corresponding to the food safety event, where the public opinion influence score is higher and the public opinion influence is larger; a second determination unit for determining a processing priority of the food safety event according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety event; and the processing unit is used for processing the food safety events according to the processing sequence indicated by the processing priority.
According to still another aspect of the embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is configured to execute the above-mentioned event processing method when running.
According to another aspect of the embodiments of the present invention, there is also provided an electronic apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the event processing method through the computer program.
In the embodiment of the invention, public sentiment parameters matched with food safety events are determined in a knowledge graph of the food safety events, the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety; inputting the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the higher the public opinion influence score is, the greater the public opinion influence is; determining a processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety events; the food safety events are processed in the processing order indicated by the processing priority. The public opinion influence score can be obtained by inputting the public opinion parameters matched with the food safety events into a public opinion influence score evaluation system, and the processing priority of the food safety events can be determined according to the public opinion influence score, so that the food safety events with large public opinion influence are preferentially processed, the probability that the food safety events with large public opinion influence are not processed in time is reduced, and the technical problem that the processing timeliness of the current food safety events is low is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of a network environment for an alternative method of event processing according to embodiments of the present invention;
FIG. 2 is a flow diagram of an alternative event processing method according to an embodiment of the invention;
FIG. 3 is a flow diagram of an alternative event processing method according to an embodiment of the invention;
FIG. 4 is a schematic diagram of an alternative event processing apparatus according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an alternative event processing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an alternative electronic device according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of the embodiments of the present invention, an event processing method is provided, and optionally, as an optional implementation manner, the event processing method may be applied, but not limited, to an event processing system in a network environment as shown in fig. 1, where the event processing system includes a user equipment 102, a network 110, and a server 112. The user equipment 102 includes a human-computer interaction screen 104, a processor 106 and a memory 108. The human-computer interaction screen 104 is configured to detect a human-computer interaction operation through a human-computer interaction interface corresponding to the client, and a user may input an event element of a food safety event through the human-computer interaction interface, for example, an input instruction is triggered at a specified position on the human-computer interaction screen 104, and the event element is input, where the event element may include, but is not limited to, a person, a place, or a propagation medium in the food safety event, and the embodiment of the present invention is not limited; and the processor 106 is used for generating a corresponding operation instruction (such as an acquisition instruction for indicating acquisition of public opinion parameters matched with the food safety event) according to the man-machine interaction operation. The memory 108 is used for storing the above-mentioned operation instructions.
S101, receiving event elements corresponding to food safety events input by a user by user equipment 102, and generating an acquisition instruction according to the event elements, wherein the acquisition instruction is used for instructing to acquire public opinion parameters matched with the food safety events;
s102, the user equipment 102 sends an acquisition instruction to the network 110;
s103, the network 110 sends an acquisition instruction to the server 112;
s104, the server 112 responds to the acquisition instruction to acquire public opinion parameters matched with the food safety event;
s105, the server 112 sends the public opinion parameters to the network 110;
s106, the network 110 sends the public opinion parameters to the user equipment 102;
s107, the user equipment 102 inputs the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events;
and S108, the user equipment 102 determines the processing priority of the food safety events according to the public opinion influence score and processes the food safety events according to the processing sequence indicated by the processing priority.
In an embodiment of the present invention, please refer to steps S101 to S108 described above, where the user equipment 102 may be a computer device such as a tablet computer, a notebook computer, and a PC, which supports running an application client, and the embodiment of the present invention is not limited thereto, the user equipment 102 may display an input box, a user may input event elements corresponding to food security events in the input box, the user equipment 102 may obtain public sentiment parameters matched with the event elements, and the user equipment 102 may also send an obtaining instruction to the server 112, so that the server 112 determines the public sentiment parameters matched with the food security events, and optionally, the food security event knowledge map may be stored in the user equipment 102, or may be stored in the server 112, and the embodiment of the present invention is not limited thereto. After the ue 102 determines the public opinion parameter, the ue 102 may input the public opinion parameter into a public opinion influence score evaluation system to obtain a public opinion influence score corresponding to the food security event, and the ue 102 may also send an obtaining instruction to the server 112, so that the server 112 inputs the public opinion parameter into the public opinion influence score evaluation system to obtain the public opinion influence score corresponding to the food security event, where the server 112 includes a database 114 and a processing engine 116, the database 114 may be configured to store a knowledge graph of the food security event, and the processing engine 116 may be configured to respond to the obtaining instruction to input the public opinion parameter into the public opinion influence score evaluation system to obtain the public opinion influence score corresponding to the food security event. Furthermore, the processing priority of the food safety events can be determined according to the public opinion influence score, and the events with high public opinion influence scores can be processed preferentially, so that the food safety events with high public opinion influence are processed preferentially, the probability that the food safety events with high public opinion influence are not processed in time is reduced, and the technical problem of low timeliness of the current food safety event processing is solved.
Optionally, in this embodiment, the user equipment may be, but is not limited to, a computer device such as a tablet computer, a notebook computer, a PC, and the like, which supports running of the application client. The server and the user equipment may implement data interaction through a network, which may include but is not limited to a wireless network or a wired network. Wherein, this wireless network includes: bluetooth, WIFI, and other networks that enable wireless communication. Such wired networks may include, but are not limited to: wide area networks, metropolitan area networks, and local area networks. The above is merely an example, and this is not limited in this embodiment.
Optionally, as an optional implementation manner, as shown in fig. 2, the event processing method includes:
s201, determining public sentiment parameters matched with food safety events in a knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety;
s202, inputting public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the public opinion influence scores are higher and the public opinion influence is larger;
s203, determining the processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating the processing sequence of the food safety events;
and S204, processing the food safety events according to the processing sequence indicated by the processing priority.
In the embodiment of the invention, the food safety event knowledge graph is a pre-constructed knowledge graph, the data types on which the knowledge graph is constructed are of various different types, the data sources are of various different sources, the data structures are of various different structures, and the food safety event knowledge graph with more comprehensive data coverage is obtained by constructing the data with various data types, multiple data sources and complex data structures. For a food safety event, the food safety event is composed of a plurality of event elements, for example, the event elements may include, but are not limited to, people, places, caused negative effects, propagation media, and the like, and embodiments of the present invention are not limited thereto. The food safety event can be split into event elements, public opinion parameters matched with the event elements are determined, wherein the food safety event can only comprise one event element or can also comprise two event elements, the number of the event elements is not limited, the public opinion parameters matched with the food safety event can be obtained no matter how many the number of the event elements are, and the more the number of the event elements is, the more the obtained public opinion parameters matched with the food safety event are accurate. Furthermore, the public opinion parameters at least include public opinion propagation path and public opinion influence degree, and the public opinion parameters may also include, but are not limited to, public opinion reported probability, public opinion keywords, public opinion comments, and the like, which is not limited in the embodiments of the present invention. The public opinion propagation path may be a public opinion propagation channel, such as each news information platform, the public opinion influence degree may include public opinion comment quantity, public opinion concern quantity, and other numerical values, the public opinion reported probability may be the probability that the public opinion is reported, and a specific numerical value may be determined by the content of the previously reported public opinion, for example, a ratio of the public opinion accounting for the target content in the previously reported public opinion may be determined as the public opinion reported probability, the public opinion keyword may be a keyword corresponding to the public opinion content, the number of the keyword may be one or more, and the public opinion comment may be a comment for the public opinion. Further, the public opinion influence score evaluation system is a preset system capable of calculating the public opinion influence score, and the public opinion influence score is higher, which indicates that the public opinion influence is larger. Further, the processing sequence of the food safety events can be determined according to the sequence of the public sentiment influence scores from high to low, so that the events with large public sentiment influence are preferentially processed.
In the embodiment of the invention, public sentiment parameters matched with food safety events are determined in a knowledge graph of the food safety events, the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety; inputting the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the higher the public opinion influence score is, the greater the public opinion influence is; determining a processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety events; the food safety events are processed in the processing order indicated by the processing priority. The public opinion influence score can be obtained by inputting the public opinion parameters matched with the food safety events into a public opinion influence score evaluation system, and the processing priority of the food safety events can be determined according to the public opinion influence score, so that the food safety events with large public opinion influence are preferentially processed, the probability that the food safety events with large public opinion influence are not processed in time is reduced, and the technical problem that the processing timeliness of the current food safety events is low is solved.
As an optional implementation manner, as shown in fig. 3, fig. 3 is another optional event processing method disclosed in the embodiment of the present invention, and as shown in fig. 3, the above-mentioned inputting the public sentiment parameter into the public sentiment influence score evaluation system to obtain the public sentiment influence score corresponding to the food safety event may include the following steps:
s301, inputting public opinion parameters into a public opinion influence score evaluation system, and acquiring a weight value matched with each public opinion parameter;
s302, acquiring a score calculation model corresponding to a public opinion influence score evaluation system;
and S303, inputting the public sentiment parameters and the weight values matched with the public sentiment parameters into the score calculation model to obtain the public sentiment influence scores corresponding to the food safety events.
In the embodiment of the invention, the public opinion influence score evaluation system can be pre-stored with the corresponding weight values of all public opinion parameters, and the larger the weight value is, the larger the influence of the public opinion parameters on the public opinion influence is. After the public opinion parameters are input into the public opinion influence score evaluation system, a weight value matched with each public opinion parameter can be obtained, for example, a weight value matched with a public opinion propagation path and a weight value matched with public opinion influence degree can be obtained. And then, inputting the public sentiment parameters and the weight values matched with the public sentiment parameters into a score calculation model for weighted calculation to obtain the public sentiment influence scores corresponding to the food safety events. For example, in the case that the public opinion parameters include a public opinion propagation path and a public opinion influence degree, the public opinion propagation path may be a propagation medium a, the public opinion influence degree may be a public opinion concern amount, specifically, the public opinion concern amount may be a concern amount corresponding to the public opinion in the propagation medium a, a weight value corresponding to the public opinion propagation path may be X, a weight value corresponding to the public opinion influence degree may be Y, different propagation mediums may correspond to different values, a propagation medium with a larger value indicates a larger influence, a value corresponding to the propagation medium a may be obtained, the value corresponding to the propagation medium a is multiplied by the weight value X to obtain a public opinion influence score corresponding to the public opinion propagation path, the public opinion concern amount is multiplied by the weight value Y to obtain a public opinion influence score corresponding to the public opinion influence degree, and the public opinion influence score corresponding to the public opinion propagation path and the public opinion influence score corresponding to the public opinion influence degree are added And obtaining public opinion influence scores corresponding to the food safety events.
By implementing the optional implementation mode, the matched weight value of each public opinion parameter can be obtained according to the public opinion influence score evaluation system, the public opinion parameters and the matched weight values of the public opinion parameters are input into the score calculation model to obtain the public opinion influence scores, so that the public opinion influence scores are obtained according to the weights of different public opinion parameters, and the reliability of the obtained public opinion influence scores is improved.
As an optional implementation manner, before determining the public opinion parameter matched with the food safety event in the food safety event knowledge graph, the following steps can be further performed:
s1, obtaining food safety data and extracting entity data from the food safety data, wherein the food safety data at least comprise entity data and attribute data corresponding to the entity data, and the entity data at least comprise food shop data and food staff data;
s2, constructing a connection relation between the food store data and the food personnel data to establish an initial food safety event knowledge graph framework;
s3, on the basis of the knowledge graph framework of the initial food safety event, adding attribute data matched with each entity data to obtain the knowledge graph framework of the initial food safety event after the attribute data are added;
and S4, adjusting the initial food safety event knowledge graph framework after the attribute data are added according to the corresponding semantics of the attribute data and the entity data, and obtaining the food safety event knowledge graph.
In an embodiment of the present invention, the food safety data includes entity data and attribute data corresponding to the entity data, where the entity data includes food store data and food staff data, the food store data may include a food store name, the food staff data may include a name of a person who produces food, the attribute data corresponding to the food store name may include, but is not limited to, a food store address, a food store business license code, a number of staff of the food store, and the like, and the attribute data corresponding to the name of the person who produces food may include, but is not limited to, a working year and the like. Further, a connection relationship between entity data may be constructed, for example, when the raw material of the food operated by the food store a comes from the food store B, it is determined that the food store a and the food store B have a connection relationship and the connection relationship is a food material supply relationship, or when the food store a and the food store a1 are different branches of the same food brand, it is determined that the food store a and the food store a1 have a connection relationship and the connection relationship is a brand identity relationship, and the like. Furthermore, the initial food safety event knowledge graph framework can be established by establishing the connection relation between the food store data and the food personnel data, the attribute data matched with each entity data can be added on the basis of the initial food safety event knowledge graph framework, the initial food safety event knowledge graph framework after the attribute data is added is obtained, further, the initial food safety event knowledge graph framework can be adjusted according to the corresponding semantics of the attribute data and the entity data, the food safety event knowledge graph is obtained, and the gradual construction of the food safety event knowledge graph is realized.
By implementing the optional implementation mode, entity data can be extracted from the food safety data, connection among the entity data is established, attribute data corresponding to the entity data is added, and finally the initial food safety event knowledge graph framework is adjusted according to semantics to obtain the food safety event knowledge graph.
As an alternative embodiment, obtaining food safety data may comprise the steps of:
s1, capturing first food safety data from an Internet platform, and acquiring second food safety data from a preset database;
and S2, determining the first food safety data and the second food safety data as the food safety data.
In the embodiment of the invention, the first food safety data can be food safety data captured from an internet platform by using a crawling technology, wherein the first food safety data can comprise entity data and attribute data corresponding to the entity data. Further, the second food safety data may be data obtained from a preset database, the preset database may be various data stored in an official database corresponding to a food safety supervision department, and the second food safety data may also include entity data or attribute data corresponding to the entity data.
By implementing the optional implementation mode, the first food safety data can be captured from the Internet platform, the second food safety data can be obtained from the preset database, the variety richness of the food safety data is improved, the food safety event knowledge graph is obtained on the basis of the multi-source heterogeneous food safety data, and the obtained data of the food safety event knowledge graph is more accurate.
As an alternative embodiment, determining the public opinion parameters matching the food safety event in the food safety event knowledge graph may comprise the following steps:
s1, obtaining event elements corresponding to the food safety events;
and S2, determining public opinion parameters matched with the event elements in the food safety event knowledge graph.
In the embodiment of the present invention, the event element may include, but is not limited to, a person, a place, an adverse effect caused by the person, a propagation medium, and the like, and is not limited in the embodiment of the present invention.
Optionally, determining public opinion parameters matching event elements in the knowledge graph of food safety events may include: determining food store data and food personnel data corresponding to the event elements in the food safety event knowledge graph, searching the food store data and the food personnel data in each transmission medium, and obtaining corresponding public opinion transmission paths and public opinion influence degrees.
By implementing the optional implementation mode, the public sentiment parameter can be determined through the event element corresponding to the food safety event, so that the public sentiment parameter can be determined under the condition that the existing information only covers the event element but not covers the whole food safety event, and the user experience is better.
According to another aspect of the embodiment of the present invention, there is also provided an event processing apparatus for implementing the above event processing method. As shown in fig. 4, the apparatus includes:
a first determining unit 401, configured to determine public sentiment parameters matched with a food safety event in a knowledge graph of the food safety event, where the public sentiment parameters at least include a public sentiment propagation path and a public sentiment influence degree, and the food safety event is a negative event related to food safety;
a first obtaining unit 402, configured to input a public opinion parameter into a public opinion influence score evaluation system, and obtain a public opinion influence score corresponding to a food safety event, where the higher the public opinion influence score is, the greater the public opinion influence is;
a second determining unit 403, configured to determine a processing priority of the food safety event according to the public opinion influence score, the processing priority being used to indicate a processing order of processing the food safety event;
a processing unit 404 for processing the food safety events in a processing order indicated by the processing priority.
In the embodiment of the invention, the food safety event knowledge graph is a pre-constructed knowledge graph, the data types on which the knowledge graph is constructed are of various different types, the data sources are of various different sources, the data structures are of various different structures, and the food safety event knowledge graph with more comprehensive data coverage is obtained by constructing the data with various data types, multiple data sources and complex data structures. For a food safety event, the food safety event is composed of a plurality of event elements, for example, the event elements may include, but are not limited to, people, places, caused negative effects, propagation media, and the like, and embodiments of the present invention are not limited thereto. The food safety event can be split into event elements, public opinion parameters matched with the event elements are determined, wherein the food safety event can only comprise one event element or can also comprise two event elements, the number of the event elements is not limited, the public opinion parameters matched with the food safety event can be obtained no matter how many the number of the event elements are, and the more the number of the event elements is, the more the obtained public opinion parameters matched with the food safety event are accurate. Furthermore, the public opinion parameters at least include public opinion propagation path and public opinion influence degree, and the public opinion parameters may also include, but are not limited to, public opinion reported probability, public opinion keywords, public opinion comments, and the like, which is not limited in the embodiments of the present invention. The public opinion propagation path may be a public opinion propagation channel, such as each news information platform, the public opinion influence degree may include public opinion comment quantity, public opinion concern quantity, and other numerical values, the public opinion reported probability may be the probability that the public opinion is reported, and a specific numerical value may be determined by the content of the previously reported public opinion, for example, a ratio of the public opinion accounting for the target content in the previously reported public opinion may be determined as the public opinion reported probability, the public opinion keyword may be a keyword corresponding to the public opinion content, the number of the keyword may be one or more, and the public opinion comment may be a comment for the public opinion. Further, the public opinion influence score evaluation system is a preset system capable of calculating the public opinion influence score, and the public opinion influence score is higher, which indicates that the public opinion influence is larger. Further, the processing sequence of the food safety events can be determined according to the sequence of the public sentiment influence scores from high to low, so that the events with large public sentiment influence are preferentially processed.
In the embodiment of the invention, public sentiment parameters matched with food safety events are determined in a knowledge graph of the food safety events, the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety; inputting the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the higher the public opinion influence score is, the greater the public opinion influence is; determining a processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety events; the food safety events are processed in the processing order indicated by the processing priority. The public opinion influence score can be obtained by inputting the public opinion parameters matched with the food safety events into a public opinion influence score evaluation system, and the processing priority of the food safety events can be determined according to the public opinion influence score, so that the food safety events with large public opinion influence are preferentially processed, the probability that the food safety events with large public opinion influence are not processed in time is reduced, and the technical problem that the processing timeliness of the current food safety events is low is solved.
As an alternative implementation, as shown in fig. 5, the first obtaining unit 402 may include:
the first obtaining module 4021 is configured to input the public opinion parameters into a public opinion influence score evaluation system, and obtain a weight value matched with each public opinion parameter;
the second obtaining module 4022 is used for obtaining a score calculation model corresponding to the public opinion influence score evaluation system;
the third obtaining module 4023 is configured to input the public sentiment parameters and the weight values matched with the public sentiment parameters into the score calculation model, and obtain the public sentiment influence scores corresponding to the food safety events.
In the embodiment of the invention, the public opinion influence score evaluation system can be pre-stored with the corresponding weight values of all public opinion parameters, and the larger the weight value is, the larger the influence of the public opinion parameters on the public opinion influence is. After the public opinion parameters are input into the public opinion influence score evaluation system, a weight value matched with each public opinion parameter can be obtained, for example, a weight value matched with a public opinion propagation path and a weight value matched with public opinion influence degree can be obtained. And then, inputting the public sentiment parameters and the weight values matched with the public sentiment parameters into a score calculation model for weighted calculation to obtain the public sentiment influence scores corresponding to the food safety events. For example, in the case that the public opinion parameters include a public opinion propagation path and a public opinion influence degree, the public opinion propagation path may be a propagation medium a, the public opinion influence degree may be a public opinion concern amount, specifically, the public opinion concern amount may be a concern amount corresponding to the public opinion in the propagation medium a, a weight value corresponding to the public opinion propagation path may be X, a weight value corresponding to the public opinion influence degree may be Y, different propagation mediums may correspond to different values, a propagation medium with a larger value indicates a larger influence, a value corresponding to the propagation medium a may be obtained, the value corresponding to the propagation medium a is multiplied by the weight value X to obtain a public opinion influence score corresponding to the public opinion propagation path, the public opinion concern amount is multiplied by the weight value Y to obtain a public opinion influence score corresponding to the public opinion influence degree, and the public opinion influence score corresponding to the public opinion propagation path and the public opinion influence score corresponding to the public opinion influence degree are added And obtaining public opinion influence scores corresponding to the food safety events.
By implementing the optional implementation mode, the matched weight value of each public opinion parameter can be obtained according to the public opinion influence score evaluation system, the public opinion parameters and the matched weight values of the public opinion parameters are input into the score calculation model to obtain the public opinion influence scores, so that the public opinion influence scores are obtained according to the weights of different public opinion parameters, and the reliability of the obtained public opinion influence scores is improved.
As an optional implementation, the apparatus may further include:
the second acquisition unit is used for acquiring food safety data before determining public sentiment parameters matched with the food safety events in the food safety event knowledge graph, and extracting entity data from the food safety data, wherein the food safety data at least comprises the entity data and attribute data corresponding to the entity data, and the entity data at least comprises food store data and food personnel data;
the establishing unit is used for establishing a connection relation between food store data and food personnel data so as to establish an initial food safety event knowledge graph framework;
the third acquisition unit is used for increasing attribute data matched with each entity data on the basis of the initial food safety event knowledge graph architecture to obtain the initial food safety event knowledge graph architecture after the attribute data are increased;
and the adjusting unit is used for adjusting the initial food safety event knowledge graph framework added with the attribute data according to the corresponding semantics of the attribute data and the entity data to obtain the food safety event knowledge graph.
In an embodiment of the present invention, the food safety data includes entity data and attribute data corresponding to the entity data, where the entity data includes food store data and food staff data, the food store data may include a food store name, the food staff data may include a name of a person who produces food, the attribute data corresponding to the food store name may include, but is not limited to, a food store address, a food store business license code, a number of staff of the food store, and the like, and the attribute data corresponding to the name of the person who produces food may include, but is not limited to, a working year and the like. Further, a connection relationship between entity data may be constructed, for example, when the raw material of the food operated by the food store a comes from the food store B, it is determined that the food store a and the food store B have a connection relationship and the connection relationship is a food material supply relationship, or when the food store a and the food store a1 are different branches of the same food brand, it is determined that the food store a and the food store a1 have a connection relationship and the connection relationship is a brand identity relationship, and the like. Furthermore, the initial food safety event knowledge graph framework can be established by establishing the connection relation between the food store data and the food personnel data, the attribute data matched with each entity data can be added on the basis of the initial food safety event knowledge graph framework, the initial food safety event knowledge graph framework after the attribute data is added is obtained, further, the initial food safety event knowledge graph framework can be adjusted according to the corresponding semantics of the attribute data and the entity data, the food safety event knowledge graph is obtained, and the gradual construction of the food safety event knowledge graph is realized.
By implementing the optional implementation mode, entity data can be extracted from the food safety data, connection among the entity data is established, attribute data corresponding to the entity data is added, and finally the initial food safety event knowledge graph framework is adjusted according to semantics to obtain the food safety event knowledge graph.
As an optional implementation manner, the manner for acquiring the food safety data by the second acquiring unit is specifically as follows:
the second acquisition unit is used for capturing the first food safety data from the Internet platform and acquiring the second food safety data from a preset database; determining the first food safety data and the second food safety data as food safety data.
In the embodiment of the invention, the first food safety data can be food safety data captured from an internet platform by using a crawling technology, wherein the first food safety data can comprise entity data and attribute data corresponding to the entity data. Further, the second food safety data may be data obtained from a preset database, the preset database may be various data stored in an official database corresponding to a food safety supervision department, and the second food safety data may also include entity data or attribute data corresponding to the entity data.
By implementing the optional implementation mode, the first food safety data can be captured from the Internet platform, the second food safety data can be obtained from the preset database, the variety richness of the food safety data is improved, and the food safety event knowledge graph is obtained on the basis of the multi-source heterogeneous food safety data.
As an alternative implementation, the first determining unit may include:
the fourth acquisition module is used for acquiring event elements corresponding to the food safety events;
and the determining module is used for determining public opinion parameters matched with the event elements in the food safety event knowledge graph.
Optionally, determining public opinion parameters matching event elements in the knowledge graph of food safety events may include: determining food store data and food personnel data corresponding to the event elements in the food safety event knowledge graph, searching the food store data and the food personnel data in each transmission medium, and obtaining corresponding public opinion transmission paths and public opinion influence degrees.
By implementing the optional implementation mode, the public sentiment parameter can be determined through the event element corresponding to the food safety event, so that the public sentiment parameter can be determined under the condition that the existing information only covers the event element but not covers the whole food safety event, and the user experience is better.
According to another aspect of the embodiments of the present invention, there is also provided an electronic apparatus for implementing the virtual object control method, as shown in fig. 6, the electronic apparatus includes a memory 602 and a processor 604, the memory 602 stores therein a computer program, and the processor 604 is configured to execute the steps in any one of the method embodiments by the computer program.
S1, determining public sentiment parameters matched with the food safety events in the knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety;
s2, inputting the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the higher the public opinion influence score is, the greater the public opinion influence is;
s3, determining the processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating the processing sequence of the food safety events;
and S4, processing the food safety events according to the processing sequence indicated by the processing priority.
Alternatively, it can be understood by those skilled in the art that the structure shown in fig. 6 is only an illustration, and the electronic device may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 6 is a diagram illustrating a structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, etc.) than shown in FIG. 6, or have a different configuration than shown in FIG. 6.
The memory 602 may be used to store software programs and modules, such as program instructions/modules corresponding to the virtual object control method and apparatus in the embodiments of the present invention, and the processor 604 executes various functional applications and data processing by running the software programs and modules stored in the memory 602, that is, implementing the virtual object control method described above. The memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 602 may further include memory located remotely from the processor 604, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. As an example, as shown in fig. 6, the memory 602 may include, but is not limited to, the first determining unit 401, the first obtaining unit 402, the second determining unit 403, and the processing unit 404 in the virtual object control apparatus. In addition, the virtual object control apparatus may further include, but is not limited to, other module units in the virtual object control apparatus, which is not described in detail in this example.
Optionally, the transmitting device 606 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 606 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmitting device 606 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In addition, the electronic device further includes: a display 608 for displaying the first target action, the second target action and the corresponding key; and a connection bus 614 for connecting the respective module parts in the above-described electronic apparatus.
According to a further aspect of embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, determining public sentiment parameters matched with the food safety events in the knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety;
s2, inputting the public opinion parameters into a public opinion influence score evaluation system to obtain public opinion influence scores corresponding to food safety events, wherein the higher the public opinion influence score is, the greater the public opinion influence is;
s3, determining the processing priority of the food safety events according to the public opinion influence score, wherein the processing priority is used for indicating the processing sequence of the food safety events;
and S4, processing the food safety events according to the processing sequence indicated by the processing priority.
According to a further aspect of embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An event processing method, comprising:
determining public sentiment parameters matched with the food safety events in a knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise public sentiment propagation paths and public sentiment influence degrees, and the food safety events are negative events related to food safety;
inputting the public opinion parameters into a public opinion influence score evaluation system to obtain a public opinion influence score corresponding to the food safety event, wherein the public opinion influence score is higher and the public opinion influence is larger;
determining a processing priority of the food safety event according to the public opinion influence score, wherein the processing priority is used for indicating a processing sequence for processing the food safety event;
processing the food safety events in the processing order indicated by the processing priority.
2. The method of claim 1, wherein the inputting the public opinion parameters into a public opinion influence score evaluation system to obtain the public opinion influence score corresponding to the food safety event comprises:
inputting the public opinion parameters into a public opinion influence score evaluation system, and acquiring a weight value matched with each public opinion parameter;
acquiring a score calculation model corresponding to the public opinion influence score evaluation system;
and inputting the public opinion parameters and the weight values matched with the public opinion parameters into the score calculation model to obtain the public opinion influence scores corresponding to the food safety events.
3. The method of claim 1, wherein prior to determining the food safety event matching public opinion parameters in the food safety event knowledge graph, further comprising:
acquiring food safety data and extracting entity data from the food safety data, wherein the food safety data at least comprises the entity data and attribute data corresponding to the entity data, and the entity data at least comprises food store data and food personnel data;
constructing a connection relation between the food store data and the food personnel data to establish an initial food safety event knowledge graph framework;
on the basis of the initial food safety event knowledge graph framework, adding attribute data matched with each entity data to obtain the initial food safety event knowledge graph framework added with the attribute data;
and adjusting the initial food safety event knowledge graph framework added with the attribute data according to the corresponding semantics of the attribute data and the entity data to obtain the food safety event knowledge graph.
4. The method of claim 3, wherein said obtaining food safety data comprises:
capturing first food safety data from an internet platform, and acquiring second food safety data from a preset database;
determining the first food safety data and the second food safety data as food safety data.
5. The method of any one of claims 1 to 4, wherein determining the public opinion parameters matching the food safety event in the food safety event knowledge graph comprises:
acquiring event elements corresponding to food safety events;
and determining public opinion parameters matched with the event elements in the food safety event knowledge graph.
6. An event processing apparatus, comprising:
the first determining unit is used for determining public sentiment parameters matched with the food safety events in a knowledge graph of the food safety events, wherein the public sentiment parameters at least comprise a public sentiment propagation path and a public sentiment influence degree, and the food safety events are negative events related to food safety;
the first acquisition unit is used for inputting the public opinion parameters into a public opinion influence score evaluation system to obtain a public opinion influence score corresponding to the food safety event, wherein the public opinion influence score is higher and the public opinion influence is larger;
a second determination unit, configured to determine a processing priority of the food safety event according to the public opinion influence score, where the processing priority is used to indicate a processing order for processing the food safety event;
a processing unit for processing the food safety events according to the processing sequence indicated by the processing priority.
7. The apparatus of claim 6, wherein the first obtaining unit comprises:
the first acquisition module is used for inputting the public opinion parameters into a public opinion influence score evaluation system and acquiring a weight value matched with each public opinion parameter;
the second acquisition module is used for acquiring a score calculation model corresponding to the public opinion influence score evaluation system;
and the third acquisition module is used for inputting the public opinion parameters and the weight values matched with the public opinion parameters into the score calculation model to acquire the public opinion influence scores corresponding to the food safety events.
8. The apparatus of claim 6, further comprising:
the second acquisition unit is used for acquiring food safety data before determining public sentiment parameters matched with the food safety events in the food safety event knowledge graph, and extracting entity data from the food safety data, wherein the food safety data at least comprises the entity data and attribute data corresponding to the entity data, and the entity data at least comprises food store data and food staff data;
the establishing unit is used for establishing a connection relation between the food store data and the food personnel data so as to establish an initial food safety event knowledge graph framework;
the third acquisition unit is used for adding attribute data matched with each entity data on the basis of the initial food safety event knowledge graph architecture to obtain the initial food safety event knowledge graph architecture added with the attribute data;
and the adjusting unit is used for adjusting the initial food safety event knowledge graph framework added with the attribute data according to the semantics corresponding to the attribute data and the entity data to obtain the food safety event knowledge graph.
9. A computer-readable storage medium comprising a stored program, wherein the program when executed performs the method of any of claims 1 to 5.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method of any of claims 1 to 5 by means of the computer program.
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