CN115292458A - Investigation information input method and system and electronic equipment - Google Patents
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Abstract
The invention provides a survey information input method, a survey information input system and electronic equipment, which can efficiently and accurately realize survey information acquisition and input. The method comprises the following steps: acquiring survey voice data, and converting the survey voice data in real time to generate initial text data; identifying the initial text data by adopting a natural language processing technology to generate question information and answer information; and inputting the answer information into a preset information form according to the question information. The system comprises a data acquisition module, an information identification and extraction module and an information input module. The electronic device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the survey information entry method when executing the program.
Description
Technical Field
The present disclosure relates to the field of digital information processing technologies, and in particular, to a method and a system for inputting survey information, and an electronic device.
Background
Epidemiology (epidemiology) is the science of studying the distribution of diseases and health conditions and their determinants in a particular population, and studying strategies and measures to prevent and treat diseases and promote health. Is an important component of preventive medicine and is the basis of preventive medicine. An important step in epidemiological research is to conduct epidemiological investigation for specific people and to collect and count various relevant information including basic information, health status information, trip information, and the like. In the related technology, data acquisition is mostly carried out in a mode of manual survey record summarization, and computer-aided survey recording is adopted in partial scenes, so that the recording efficiency is greatly improved. The modes all need manual entry item by item, occupy a large amount of human resources, and have low data acquisition efficiency and higher error rate.
Disclosure of Invention
In view of this, an object of the present disclosure is to provide a method, a system, and an electronic device for recording survey information, which can efficiently and accurately realize survey information acquisition and recording.
In view of the above, in a first aspect, the present disclosure provides a method for recording survey information, including:
acquiring survey voice data, and converting the survey voice data in real time to generate initial text data;
identifying the initial text data by adopting a natural language processing technology to generate question information and answer information;
and inputting the answer information into a preset information form according to the question information.
Optionally, the identifying the initial text data by using a natural language processing technology to generate question information and answer information includes:
performing entity recognition on the initial text data, and determining a plurality of question items in the initial text data;
entity recognition is carried out on the initial text data, and a plurality of answer items are extracted from the initial text data;
and performing question-answer matching on the plurality of question items and the plurality of answer items, and determining the corresponding relation between the plurality of question items and the plurality of answer items.
Optionally, the performing entity identification on the initial text data and determining a plurality of question items in the initial text data includes:
identifying and determining a plurality of semantic entities from the initial text data by adopting an entity identification algorithm;
performing semantic recognition based on the semantic entities, and extracting a plurality of question sentences from the initial text data;
and matching the plurality of question sentences with the plurality of preset reference problems by adopting a dynamic programming algorithm, and determining the plurality of problem items according to a matching result.
Optionally, the performing entity identification on the initial text data and extracting a plurality of answer items from the initial text data include:
identifying and determining a plurality of keyword entities from the initial text data by adopting a named entity identification algorithm;
and adopting a regular expression algorithm to extract and determine a plurality of answer items according to a plurality of keyword entities.
Optionally, the performing question-answer matching on the plurality of question items and the plurality of answer items includes:
matching the plurality of question items and the plurality of answer items by adopting a LIFO (limiting information approach) caching algorithm based on a distributed queue, and determining the answer items corresponding to the plurality of question items.
Optionally, the entering the answer information into a preset information form according to the question information includes:
determining a plurality of information table items respectively corresponding to the plurality of problem items in the preset information form;
and filling a plurality of answer items into a plurality of corresponding information table items respectively.
Optionally, the method further includes:
and when the initial text data is generated by conversion, the generated initial text data is transmitted and stored in a distributed transaction message queue mode.
Optionally, when the entity identification is performed on the initial text data, the method further includes selecting a multithreading asynchronous identification mode for identification.
Based on the same object, in a second aspect, the present disclosure also provides a survey information entry system, comprising:
the data acquisition module is configured to acquire survey voice data and convert the survey voice data in real time to generate initial text data;
the information identification and extraction module is configured to identify the initial text data by adopting a natural language processing technology to generate question information and answer information; and
and the information input module is configured to input the answer information into a preset information form according to the question information.
The system is for performing a survey information entry method as described in the first aspect.
In a third aspect, the present disclosure also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of investigation information entry according to the first aspect when executing the program.
As can be seen from the foregoing, the survey information entry method, system and electronic device provided by the present disclosure have the following beneficial technical effects:
acquiring survey voice data, converting the survey voice data into initial text data in real time, extracting and determining question information and answer information from the initial text data by using a natural language processing technology, and filling the answer information which can directly correspond to the question information into a form item corresponding to the preset information form so as to realize survey information input. By adopting the mode, the answer information can be quickly and accurately extracted and determined from the scene of inquiring and surveying for inputting, the manual recording and summarizing of workers are not needed, the flow steps are simplified, the efficiency of inputting the survey information is greatly improved, and meanwhile, the data errors possibly caused by the manual recording and summarizing can be effectively avoided.
Drawings
In order to clearly illustrate the technical solutions of the present disclosure or related technologies, the drawings used in the embodiments or related technologies description will be briefly introduced below, and obviously, the drawings in the following description are only embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of a survey information entry method provided in an embodiment of the present disclosure;
fig. 2 is a schematic diagram illustrating a method for determining question information and answer information in a survey information entry method according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a method for determining multiple question items in an investigation information entry method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an investigation information entry system according to an embodiment of the present disclosure;
fig. 5 is a schematic view of an investigation information entry electronic device according to an embodiment of the disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that technical terms or scientific terms used in the embodiments of the present disclosure should have a general meaning as understood by those having ordinary skill in the art to which the present disclosure belongs, unless otherwise defined. The use of "first," "second," and similar terms in the embodiments of the disclosure is not intended to indicate any order, quantity, or importance, but rather to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
An important step in epidemiological research is to conduct epidemiological investigation on specific people and to collect and count various relevant information including basic information, health status information, trip information, and the like. In the related technology, data acquisition is mostly carried out in a mode of manual survey record summarization, a worker carries out targeted question inquiry, then records the questions in sequence manually and finally summarizes the questions collectively, and a computer-assisted recording mode is adopted in partial scenes to improve recording efficiency. The modes all need manual entry item by item, occupy a large amount of human resources, and have low data acquisition efficiency and high error rate.
In order to solve the problems, the present disclosure provides a survey information entry method, which obtains survey voice data in a survey inquiring scene, extracts a plurality of questions and corresponding answers in the survey inquiring scene by using a natural language processing technology, and then speaks the answers to enter the questions, so that the information entry efficiency can be greatly improved while the information accuracy is ensured.
In a first aspect, the disclosed embodiments provide a method for recording survey information.
As shown in fig. 1, a method for recording survey information according to one or more alternative embodiments of the present disclosure includes:
s1: and acquiring survey voice data, and converting the survey voice data in real time to generate initial text data.
The method can utilize audio and video acquisition equipment to acquire survey voice data under a survey scene in real time, and adopts a voice recognition technology to convert the survey voice data into initial text data.
S2: and identifying the initial text data by adopting a natural language processing technology to generate question information and answer information.
The initial text data may be semantically identified by using a Natural Language Processing (NLP), a plurality of question sentences in the initial text data are extracted and determined to determine question information, a plurality of answer sentences corresponding to the plurality of question sentences are identified and determined, and answer information is further extracted and determined according to the answer sentences.
S3: and inputting the answer information into a preset information form according to the question information.
And the preset information form comprises a plurality of information table items corresponding to the problem information. In some optional embodiments, a plurality of information entries corresponding to a plurality of question items may be determined in the preset information form, and a plurality of answer items are filled into a corresponding plurality of information entries, so as to implement survey information entry.
In some optional embodiments, the inquiry terminal may collect, in real time, inquiry voice data in an inquiry scene and convert the inquiry voice data to generate initial text data, and speak, in real time or periodically, the initial text data generated by conversion and send the initial text data to the information processing server. And then, performing semantic recognition on the initial text data by the information processing server based on a natural language processing technology, and extracting and determining question information and answer information in the initial text data. And then determining the question information and the answer information and then inputting the answer information into the preset information form according to the question information.
In some optional embodiments, for a specific target person to conduct inquiry, there are multiple inquiry and survey scenes, and multiple inquiry terminals are correspondingly provided to obtain survey voice data, and the multiple inquiry terminals aggregate the survey voice data corresponding to the multiple inquiry and survey scenes and transmit the aggregated survey voice data to the information processing server. The information processing server side can send the question information and the answer information to a network center server side based on a network communication protocol such as a WebSocket protocol. And a durable and reliable network connection is established between the information processing server and the network center server, so that the reliability and stability of information transmission are ensured. And finally, the network center server side inputs the answer information into a preset information form according to the question information.
The survey information entry method comprises the steps of obtaining survey voice data, converting the survey voice data into initial text data in real time, extracting and determining question information and answer information from the initial text data by using a natural language processing technology, and filling the answer information which can directly correspond to the question information into a form item corresponding to a preset information form so as to realize survey information entry. By adopting the mode, the answer information can be quickly and accurately extracted and determined from the scene of inquiring and surveying for inputting, the manual recording and summarizing of workers are not needed, the flow steps are simplified, the efficiency of inputting the survey information is greatly improved, and meanwhile, the data errors possibly caused by the manual recording and summarizing can be effectively avoided.
As shown in fig. 2, in a survey information entry method provided in one or more alternative embodiments of the present disclosure, the identifying the initial text data by using a natural language processing technology to generate question information and answer information includes:
s201: and performing entity recognition on the initial text data, and determining a plurality of question items in the initial text data.
A plurality of semantic entities can be determined by performing entity recognition on the initial text data, wherein the semantic entities comprise keywords, phrases, short sentences and the like. Determining respective meanings based on results of semantic analysis of the semantic entities to determine a plurality of the question items from the initial text data.
S202: and performing entity recognition on the initial text data, and extracting a plurality of answer items from the initial text data.
In some alternative embodiments, entity recognition may be performed on the initial textual data to determine a plurality of keyword entities. A plurality of answer terms can then be extracted and determined from the plurality of keyword entities based on entity semantics of the keyword entities by adopting a regular expression algorithm.
S203: and performing question-answer matching on the plurality of question items and the plurality of answer items, and determining the corresponding relation between the plurality of question items and the plurality of answer items.
The question information comprises a plurality of question items, the answer information comprises a plurality of answer items, and the answer information further comprises corresponding relations between the plurality of question items and the plurality of answer items.
In some optional embodiments of the present application, when the survey voice data is converted in real time to generate initial text data, the generated initial text data may be transmitted and stored in a distributed transaction message queue manner.
In some optional embodiments of the present disclosure, a last-in-first-out (LIFO) caching algorithm may be adopted to match the plurality of question items with the plurality of answer items based on the distributed queue, and the answer item corresponding to each of the plurality of question items may be determined according to a matching result.
According to the survey information entry method, a plurality of semantic entities are identified, extracted and determined from the initial text data by utilizing an entity identification technology, and a plurality of question items and a plurality of answer items are extracted and determined according to corresponding entity meanings, so that the problem information and the answer information can be comprehensively and accurately extracted. Furthermore, a distributed queue-based cache algorithm is utilized to accurately and correspondingly match the plurality of question items and the plurality of answer items, so that a basis is provided for the accuracy of the subsequent investigation information entry.
In the survey information entry method provided in one or more optional embodiments of the present disclosure, when entity recognition is performed on the initial text data, a multithreading asynchronous recognition mode may also be selected for recognition, and such a manner can greatly improve recognition efficiency.
As shown in fig. 3, in a method for recording survey information provided in one or more alternative embodiments of the present disclosure, performing entity recognition on the initial text data, and determining a plurality of question items in the initial text data includes:
and S301, identifying and determining a plurality of semantic entities from the initial text data by adopting an entity identification algorithm.
The initial text data may be processed by using a Named Entity Recognition algorithm (NER), and a plurality of semantic entities may be identified and determined.
In some alternative embodiments, the named entity recognition algorithm may employ a dictionary-based approach for data processing, the dictionary employing a dictionary containing a plurality of keywords, and key phrases associated with epidemiological surveys. The named entity recognition algorithm based on the dictionary method is adopted for recognition, so that the accuracy of recognizing the determined semantic entities and the relevance of the semantic entities to the investigation information input can be ensured.
S302: and performing semantic recognition based on the semantic entities, and extracting a plurality of question sentences from the initial text data.
S303: and matching the plurality of question sentences with the plurality of preset reference problems by adopting a dynamic programming algorithm, and determining the plurality of problem items according to a matching result.
After determining a plurality of query statements, a dynamic programming algorithm may be employed to match the plurality of query statements to a plurality of predetermined benchmark questions. The plurality of preset reference problems can be determined according to a plurality of information items in the preset information form.
It should be noted that the method of the embodiment of the present disclosure may be executed by a single device, such as a computer or a server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may only perform one or more steps of the method of the embodiments of the present disclosure, and the devices may interact with each other to complete the method.
It should be noted that the above describes some embodiments of the disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments described above and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, corresponding to any embodiment method, the disclosure also provides a survey information entry system.
Referring to fig. 4, the survey information entry system includes:
the data acquisition module 401 is configured to acquire survey voice data, and convert the survey voice data in real time to generate initial text data;
an information identification and extraction module 402 configured to identify the initial text data by using a natural language processing technology, and generate question information and answer information; and
an information entry module 403 configured to enter the answer information into a preset information form according to the question information.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the various modules may be implemented in the same one or more software and/or hardware implementations of the present disclosure.
The device of the foregoing embodiment is used to implement the corresponding investigation information entry method in any one of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described again here.
Based on the same inventive concept, corresponding to any of the above embodiments, the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the method for recording survey information according to any of the above embodiments.
Fig. 5 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component within the device (not shown) or may be external to the device to provide corresponding functionality. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (for example, USB, network cable, etc.), and can also realize communication in a wireless mode (for example, mobile network, WIFI, bluetooth, etc.).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
The electronic device of the foregoing embodiment is used to implement the corresponding investigation information entry method in any one of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiment, which are not described again here.
Based on the same inventive concept, corresponding to any of the above-described embodiment methods, the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the survey information entry method according to any of the above embodiments.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the survey information entry method according to any one of the above embodiments, and have the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the present disclosure, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring embodiments of the present disclosure, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the embodiments of the present disclosure are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that the embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures, such as Dynamic RAM (DRAM), may use the discussed embodiments.
The disclosed embodiments are intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalents, improvements, and the like that may be made within the spirit and principles of the embodiments of the disclosure are intended to be included within the scope of the disclosure.
Claims (10)
1. A survey information entry method, comprising:
acquiring survey voice data, and converting the survey voice data in real time to generate initial text data;
identifying the initial text data by adopting a natural language processing technology to generate question information and answer information;
and inputting the answer information into a preset information form according to the question information.
2. The method of claim 1, wherein the identifying the initial text data using natural language processing techniques to generate question information and answer information comprises:
performing entity recognition on the initial text data, and determining a plurality of problem items in the initial text data;
entity recognition is carried out on the initial text data, and a plurality of answer items are extracted from the initial text data;
and performing question-answer matching on the plurality of question items and the plurality of answer items, and determining the corresponding relation between the plurality of question items and the plurality of answer items.
3. The method of claim 2, wherein the performing entity recognition on the initial text data and determining the plurality of question items in the initial text data comprises:
identifying and determining a plurality of semantic entities from the initial text data by adopting an entity identification algorithm;
performing semantic recognition based on a plurality of semantic entities, and extracting a plurality of question sentences from the initial text data;
and matching the plurality of question sentences with the plurality of preset reference problems by adopting a dynamic programming algorithm, and determining the plurality of problem items according to a matching result.
4. The method of claim 2, wherein the entity identifying the initial text data and extracting a plurality of answer items from the initial text data comprises:
identifying and determining a plurality of keyword entities from the initial text data by adopting a named entity identification algorithm;
and adopting a regular expression algorithm to extract and determine a plurality of answer items according to a plurality of keyword entities.
5. The method of claim 2, wherein the question-answer matching of the plurality of question items with the plurality of answer items comprises:
matching the plurality of question items and the plurality of answer items by adopting a LIFO (limiting information approach) caching algorithm based on a distributed queue, and determining the answer items corresponding to the plurality of question items.
6. The method of claim 2, wherein said entering the answer information into a preset information form according to the question information comprises:
determining a plurality of information table items respectively corresponding to the plurality of problem items in the preset information form;
and filling a plurality of answer items into a plurality of corresponding information table items respectively.
7. The method of claim 1, further comprising:
and when the initial text data is generated by conversion, the generated initial text data is transmitted and stored in a distributed transaction message queue mode.
8. The method of claim 2, further comprising selecting a multi-threaded asynchronous recognition mode for recognition when performing entity recognition on the initial text data.
9. A survey information entry system, comprising:
the data acquisition module is configured to acquire survey voice data and convert the survey voice data in real time to generate initial text data;
the information identification and extraction module is configured to identify the initial text data by adopting a natural language processing technology to generate question information and answer information; and
the information input module is configured to input the answer information into a preset information form according to the question information;
the system is adapted to perform the method of any of claims 1 to 8.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 8 when executing the program.
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