CN108229910B - Classification processing method for resident reporting event - Google Patents
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Abstract
The invention discloses a classification processing method of resident reporting events, which comprises the following steps: the platform receives event information reported by a reporter terminal and judges the event type according to a clustering method; the platform determines whether the event is established or not according to the event type, if the event is not established, the reason for not establishing the event is filled, and 'non-establishment' information is generated and sent to the reporter terminal, and the event processing is finished; if the project is established, the platform selects an applicable flow bound with the event type according to the event type, generates an acceptance item, pushes the acceptance item to a handler, and generates 'processing' information to the reporter terminal; the platform fills in self-defined description contents according to a processor, updates the newspaper provider and feeds back the processing progress of the accepted items; the platform receives an event processing completion message of a handler, and generates a processing completion result message to the reporter terminal; the event processing ends. The invention provides an effective communication method between residents and community workers.
Description
Technical Field
The invention relates to the field of social services, in particular to a classification processing method for events reported by residents.
Background
The effective communication between community residents and community workers is an important way for guaranteeing the community safety. The existing social software cannot meet the actual requirement of community safety, and residents and community staff can effectively communicate with each other. Residents cannot report community events quickly and get effective feedback.
In order to solve the problems, the invention provides a classification processing method for events reported by residents. The method introduces a clustering method to classify the reported events, perfects the reporting and feedback mechanism, and facilitates the effective communication between community residents and community workers.
Disclosure of Invention
In order to solve the problems, the invention provides a classification processing method for events reported by residents.
Specifically, the classification processing method for the event reported by the residents is characterized by comprising the following steps:
s11: the platform receives event information reported by a reporter terminal and judges the event type according to a clustering method;
s12: the platform determines whether the event is established or not according to the event type, if the event is not established, the reason for not establishing the event is filled, and 'not establishing item' information is generated to the reporter terminal, and the S16 is switched to;
s13: setting up a project; the platform selects an applicable flow bound with the event type according to the event type, generates an acceptance item, pushes the acceptance item to a handler, and simultaneously generates 'processing' information to a reporter terminal;
s14: the platform fills in self-defined description contents according to a processor, updates the newspaper provider and feeds back the processing progress of the accepted items;
s15: the platform receives an event processing completion message of a handler, and generates a processing completion result message to the reporter terminal;
s16: the event processing ends.
Preferably, the clustering method in S12 includes the following steps:
s21, segmenting words of the event reported by the residents to obtain event feature words;
s22, establishing a VSM vector model for the event feature words, and calculating the similarity between the event feature words and all event categories in the event model;
s23, finding out an event class with the maximum similarity to the event feature word, if the similarity between the event feature word and the event class is greater than a preset threshold value, classifying the event feature value into the event class, and executing S25; if the value is smaller than the preset threshold value, executing S24;
s24, establishing a new event type based on the event feature words, and triggering an event model updating process;
and S25, carrying out event type marking on the event reported by the residents, and finishing the processing.
Preferably, the update process of the event model in S24 is as follows: and counting the occurrence frequency of the event characteristic words, if the frequency reaches a preset upper frequency limit, adding the event characteristic words into the event model, otherwise, only updating the occurrence frequency of the event characteristic words, and not adding the event model.
Preferably, the VSM vector model in S22 is a vector composed of n feature words, and the event reported by the residents is abstracted as { W1, W2, … … Wn }, where Wn is the weight of the feature word n and the calculation method is the TF-IDF algorithm; the input parameters of the calculation formula are: the number of events with the characteristic words, the total number of the events in the event model and the word frequency of the characteristic words when the events appear in the reporting of residents; the calculation result is the feature word weight.
Preferably, the event type in S11 may include the urgency level of the event information, and the platform assigns a certain priority level according to the urgency level; and directly pushing the information to a responsible person in an emergency and sending reminding information.
Preferably, an approver is further included between S11 and S12, and is configured to confirm the event information in S11.
Preferably, the "in-process" information in S13 includes an item number, a time limit for processing a received item, and a contact address of a handler; the standing number contains the code of the reported date.
Preferably, the step S16 further includes: the reporting person and the processing person evaluate each other; the mutual evaluation comprises a mutual scoring system and may comprise a cumulative scoring system.
Preferably, the step S16 further includes: and statistical information of historical data of the reporter and the processor is presented mutually, wherein the historical data comprises the reporting number and the average evaluation of the reporter, and also comprises the processing number, the average processing time and the average evaluation of the processor.
The invention has the beneficial effects that: the method introduces a clustering method to classify the reported events, perfects the reporting and feedback mechanism, and facilitates the effective communication between community residents and community workers.
Drawings
FIG. 1 is an event processing flow diagram of the present invention.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, embodiments of the present invention will now be described with reference to the accompanying drawings.
Specifically, the classification processing method for the event reported by the residents is characterized by comprising the following steps:
s11: the platform receives event information reported by a reporter terminal and judges the event type according to a clustering method;
s12: the platform determines whether the event is established or not according to the event type, if the event is not established, the reason for not establishing the event is filled, and 'not establishing item' information is generated to the reporter terminal, and the S16 is switched to;
s13: setting up a project; the platform selects an applicable flow bound with the event type according to the event type, generates an acceptance item, pushes the acceptance item to a handler, and simultaneously generates 'processing' information to a reporter terminal;
s14: the platform fills in self-defined description contents according to a processor, updates the newspaper provider and feeds back the processing progress of the accepted items;
s15: the platform receives an event processing completion message of a handler, and generates a processing completion result message to the reporter terminal;
s16: the event processing ends.
Preferably, the clustering method in S12 includes the following steps:
s21, segmenting words of the event reported by the residents to obtain event feature words;
s22, establishing a VSM vector model for the event feature words, and calculating the similarity between the event feature words and all event categories in the event model;
s23, finding out an event class with the maximum similarity to the event feature word, if the similarity between the event feature word and the event class is greater than a preset threshold value, classifying the event feature value into the event class, and executing S25; if the value is smaller than the preset threshold value, executing S24;
s24, establishing a new event type based on the event feature words, and triggering an event model updating process;
and S25, carrying out event type marking on the event reported by the residents, and finishing the processing.
Preferably, the update process of the event model in S24 is as follows: and counting the occurrence frequency of the event characteristic words, if the frequency reaches a preset upper frequency limit, adding the event characteristic words into the event model, otherwise, only updating the occurrence frequency of the event characteristic words, and not adding the event model.
Preferably, the VSM vector model in S22 is a vector composed of n feature words, and the event reported by the residents is abstracted as { W1, W2, … … Wn }, where Wn is the weight of the feature word n and the calculation method is the TF-IDF algorithm; the input parameters of the calculation formula are: the number of events with the characteristic words, the total number of the events in the event model and the word frequency of the characteristic words when the events appear in the reporting of residents; the calculation result is the feature word weight.
Preferably, the event type in S11 may include the urgency level of the event information, and the platform assigns a certain priority level according to the urgency level; and directly pushing the information to a responsible person in an emergency and sending reminding information.
Preferably, an approver is further included between S11 and S12, and is configured to confirm the event information in S11.
Preferably, the "in-process" information in S13 includes an item number, a time limit for processing a received item, and a contact address of a handler; the standing number contains the code of the reported date.
Preferably, the step S16 further includes: the reporting person and the processing person evaluate each other; the mutual evaluation comprises a mutual scoring system and may comprise a cumulative scoring system.
Preferably, the step S16 further includes: and statistical information of historical data of the reporter and the processor is presented mutually, wherein the historical data comprises the reporting number and the average evaluation of the reporter, and also comprises the processing number, the average processing time and the average evaluation of the processor.
It should be noted that, for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts or combinations, but those skilled in the art should understand that the present application is not limited by the order of acts described, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and elements referred to are not necessarily required in this application.
In the above embodiments, 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.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a ROM, a RAM, etc.
The above disclosure is only for the purpose of illustrating the preferred embodiments of the present invention, and it is therefore to be understood that the invention is not limited by the scope of the appended claims.
Claims (5)
1. A classification processing method for resident reporting events is characterized by comprising the following steps:
s11: the platform receives event information reported by a reporter terminal and judges the event type according to a clustering method;
s21, segmenting words of the event reported by the residents to obtain event feature words;
s22, establishing a VSM vector model for the event feature words, and calculating the similarity between the event feature words and all event categories in the event model, wherein the VSM vector model is a vector consisting of n feature words, and the event reported by residents is abstracted to { W1, W2 and … … Wn }, wherein Wn is the weight of the feature words n, and the calculation method is a TF-IDF algorithm; the input parameters of the calculation formula are: the number of events with the characteristic words, the total number of the events in the event model and the word frequency of the characteristic words when the events appear in the reporting of residents; the calculation result is the weight of the feature word;
s23, finding out an event class with the maximum similarity to the event feature word, if the similarity between the event feature word and the event class is greater than a preset threshold value, classifying the event feature value into the event class, and executing S25; if the value is smaller than the preset threshold value, executing S24;
s24, establishing a new event type based on the event feature words, triggering an event model updating process, counting the occurrence frequency of the event feature words, adding the event feature words into the event model if the occurrence frequency reaches a preset upper frequency limit, or only updating the occurrence frequency of the event feature words without adding the event model;
s25, carrying out event type marking on the event reported by the residents, and finishing the processing;
s12: the platform determines whether the event is established or not according to the event type, if the event is not established, the reason for not establishing the event is filled, and 'not establishing item' information is generated to the reporter terminal, and the S16 is switched to;
s13: setting up a project; the platform selects an applicable flow bound with the event type according to the event type, generates an acceptance item, pushes the acceptance item to a handler, and simultaneously generates 'processing' information to a reporter terminal;
s14: the platform fills in self-defined description contents according to a processor, updates the newspaper provider and feeds back the processing progress of the accepted items;
s15: the platform receives an event processing completion message of a handler, and generates a processing completion result message to the reporter terminal;
s16: after the event processing is finished, the reporting person and the processing person evaluate each other; the mutual evaluation comprises a mutual scoring system and may comprise a cumulative scoring system.
2. The method as claimed in claim 1, wherein the event type in S11 includes the degree of urgency of the event information, and the platform assigns a certain priority level according to the degree of urgency; and directly pushing the information to a responsible person in an emergency and sending reminding information.
3. The method as claimed in claim 1, further comprising an approver between S11 and S12 for confirming the event information in S11.
4. The method as claimed in claim 1, wherein the "in-process" information in S13 includes an item number, a time limit for processing the accepted items, and a contact manner of the handler; the standing number contains the code of the reported date.
5. The method as claimed in claim 1, wherein said step S16 is followed by the steps of: and statistical information of historical data of the reporter and the processor is presented mutually, wherein the historical data comprises the reporting number and the average evaluation of the reporter, and also comprises the processing number, the average processing time and the average evaluation of the processor.
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