CN114723494A - Method, device, equipment and storage medium for judging validity of questionnaire processing result - Google Patents
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Abstract
The invention discloses a method, a device, equipment and a storage medium for judging validity of a questionnaire processing result. According to the method, the data processing result corresponding to the questionnaire data to be processed is obtained, the first processing reliability is determined according to the score sequence information of the question group with the association relation in the data processing result, the second processing reliability is determined according to the processing time information of each question to be processed in the data processing result, the category of the data processing result corresponding to the questionnaire data to be processed is determined according to the first processing reliability and the second processing reliability, and the validity judgment of the data processing result corresponding to the questionnaire data to be processed is achieved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining validity of a questionnaire processing result.
Background
Questionnaire survey as a widely used survey means in modern society, with the rapid development of the internet, network questionnaires are used in large quantities, including opinion collection, commercial evaluation, psychological survey, and the like. Due to the professionalism of some questionnaires, the reasonability of questionnaire results such as market assessment, psychological survey, personality test, and the like is required, and particularly, psychological survey, personality test, and the like are collectively called questionnaires for non-cognitive tests. Such tests do not have correct answers, but have reasonable answers, and any unreasonable questionnaire results will undermine the accuracy of the data statistics or assessments. One situation is that the testee answers according to good individual characteristics expected by the society, but not according to the characteristics of the testee, so as to generate the social licensing effect; another situation is to disregard the importance of the questionnaire, with the sole purpose of completing the questionnaire, severely undermining the quality of the questionnaire results. Both of these situations defeat the purpose of questionnaires and have serious consequences, particularly in psychological questionnaires where patients who fill them at will to mask their symptoms or without awareness of their psychological abnormalities, miss treatment opportunities and therefore miss treatment opportunities.
The traditional method for ensuring the effectiveness of the questionnaire results is to add one or more lie-detecting problems in the questionnaire, and the lie-detecting problems are considered to be capable of effectively screening out the questionnaire with unreasonable results. The logic of lie detection is to determine if you have a social licensing effect by setting some questions that are socially impermissible. The following defects are mainly found in the current lie detection mode through actual research and research:
(1) the limitation of the lie detection problem lies in that the lie detection mode is too single, the score threshold of the lie detection problem is uncertain, the individual difference of the detected person is large in the aspect of psychological test, the psychology of the detected person is abnormal in different degrees, and the score scale of the lie detection problem cannot use the normal model scale; (2) in practical applications, the testee can generate psychological activities unrelated to the test, especially the testee with psychological diseases. The result of the test index is additionally influenced, and the test environment and the recent psychological condition of the tested person have obvious influence on the test accuracy and the effectiveness of lie detection; (3) most of the current approved lie detection algorithms detect physiological responses of a detected person, including parameters such as a detected breathing line length, a heart rate and skin resistance, so that a lie detection judgment standard with multi-data fusion is realized. However, at present, the series of algorithms are not suitable for internet questionnaires for a wide range of surveys.
Therefore, the prior art has the technical problems that the validity of the questionnaire result cannot be accurately determined, and the prior art is not suitable for the internet questionnaire of large-scale investigation.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for judging validity of a questionnaire processing result, which are used for solving the technical problems that the validity of a questionnaire result cannot be accurately determined and the internet questionnaire is not suitable for large-scale survey.
According to an aspect of the present invention, there is provided a method for determining validity of a questionnaire processing result, comprising:
acquiring a data processing result corresponding to questionnaire data to be processed, wherein the data processing result comprises score sequence information and processing time information;
determining a first processing reliability corresponding to the topic group with the association relation based on the score sequence information of the topic group with the association relation in the data processing result;
determining a second processing reliability corresponding to each to-be-processed question based on the processing time information of each to-be-processed question in the data processing result;
and outputting the category to which the data processing result belongs according to the first processing reliability and the second processing reliability, wherein the category comprises a result invalid category and a result valid category.
Optionally, the data processing result further includes user image information, and the category to which the data processing result belongs is output according to the first processing reliability and the second processing reliability, including;
determining a third processing reliability of each to-be-processed question based on the user image information of each to-be-processed question;
and outputting the category to which the data processing result belongs according to the first processing reliability, the second processing reliability and the third processing reliability.
Optionally, the determining, based on the user image information of each to-be-processed question, a third processing reliability of each to-be-processed question includes:
determining the expression type of each question to be processed by the user based on the user image information of each question to be processed and a pre-trained facial expression recognition model;
and determining the third processing credibility of each to-be-processed question according to the expression category of each to-be-processed question processed by the user.
Optionally, the determining, based on the user image information of each to-be-processed question, a third processing reliability of each to-be-processed question includes:
determining the expression characteristics and the limb characteristics of each topic to be processed by a user based on the user image information of each topic to be processed;
and determining the third processing reliability of each to-be-processed question according to the expression characteristics and the limb characteristics of each to-be-processed question processed by the user.
Optionally, the determining, based on the score sequence information of the topic groups with association in the data processing result, the first processing reliability corresponding to the topic groups with association includes:
calculating a correlation coefficient between the score sequence information based on the score sequence information of each question group aiming at least two question groups with incidence relation in the questionnaire data to be processed;
and determining the first processing reliability corresponding to the topic group with the association relation based on the correlation coefficient.
Optionally, the determining, based on the processing time information of each topic to be processed in the data processing result, a second processing reliability corresponding to each topic to be processed includes:
determining the processing time ratio of each to-be-processed question based on the processing time information of the to-be-processed questionnaire data and the processing time information of each to-be-processed question in the to-be-processed questionnaire data;
and determining a second processing credibility corresponding to each to-be-processed question based on the processing time ratio of each to-be-processed question and a preset ratio threshold.
Optionally, the outputting, according to the first processing reliability, the second processing reliability, and the third processing reliability, a category to which the data processing result belongs includes:
and if the first processing reliability, the second processing reliability and the third processing reliability are credibility, outputting the category to which the data processing result belongs as a result valid category.
According to another aspect of the present invention, there is provided a validity determination apparatus of questionnaire processing data, comprising:
the result acquisition module is used for acquiring a data processing result corresponding to the questionnaire data to be processed, wherein the data processing result comprises score sequence information and processing time information;
a reliability determination first module, configured to determine, based on score sequence information of topic groups having an association relationship in the data processing result, a first processing reliability corresponding to the topic groups having an association relationship;
a reliability determination second module, configured to determine, based on processing time information of each to-be-processed question in the data processing result, a second processing reliability corresponding to each to-be-processed question;
and the category output module is used for outputting the category to which the data processing result belongs according to the first processing reliability and the second processing reliability, wherein the category comprises a result invalid category and a result valid category.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the method for determining validity of a questionnaire processing result according to any embodiment of the present invention.
According to another aspect of the present invention, a computer-readable storage medium is provided, where computer instructions are stored, and the computer instructions are used for enabling a processor to implement the method for determining validity of questionnaire processing results according to any embodiment of the present invention when executed.
According to the technical scheme of the embodiment of the invention, the validity judgment of the data processing result corresponding to the questionnaire data to be processed is realized by acquiring the data processing result corresponding to the questionnaire data to be processed, determining the first processing reliability corresponding to the topic group with the association relation according to the score sequence information of the topic group with the association relation in the data processing result, determining the second processing reliability corresponding to each topic to be processed according to the processing time information of each topic in the data processing result, and further determining the category to which the data processing result corresponding to the questionnaire data to be processed belongs according to the first processing reliability and the second processing reliability, the method combines the score sequence information of the topic group with the association relation and the processing time of the topic to detect the validity of the data processing result of the questionnaire, so that the accuracy of the validity detection of the data processing result of the questionnaire is improved, the technical problems that whether the questionnaire result is effective or not can not be accurately determined and the internet questionnaire suitable for large-scale investigation can not be achieved in the prior art are solved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for determining validity of a questionnaire processing result according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for determining validity of a questionnaire processing result according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an apparatus for determining validity of questionnaire processing results according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present 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.
Example one
Fig. 1 is a schematic flow chart of a method for determining validity of questionnaire processing results according to an embodiment of the present invention, which is applicable to a case where a category to which a data processing result of questionnaire data to be processed belongs is determined, such as a result invalid category or a result valid category, and which can be executed by a questionnaire processing result validity determining device, which can be implemented in a hardware and/or software manner, and which can be configured in an electronic device such as a mobile phone, a tablet computer, a computer, or a smart watch. As shown in fig. 1, the method includes:
s110, acquiring a data processing result corresponding to the questionnaire data to be processed, wherein the data processing result comprises score sequence information and processing time information.
The questionnaire data to be processed may be questionnaire data such as psychological questionnaire data, market assessment questionnaire data, personality test questionnaire data, product evaluation questionnaire data, and opinion collection questionnaire data, among others. Specifically, the questionnaire data to be processed may include at least one topic to be processed.
In this embodiment, the questionnaire data to be processed may further include a topic group having an association relationship, where the topic group having the association relationship may be a preset repetitive topic group. Or, the topic groups with the association relationship may also be topic groups with a strong association relationship between the processing results, for example, if a preset association relationship should exist between the processing result of one topic group and the processing result of another topic group, the two topic groups may be determined as the topic groups with the association relationship. For example, the preset association relationship may be that the processing results of two topic groups are opposite, the processing result of one topic group is equal to the sum of the processing result of the other topic group and a preset numerical value, and so on.
The data processing result corresponding to the to-be-processed questionnaire data may be a questionnaire answer that the user fills in or edits with respect to the to-be-processed questionnaire data. The data processing result may include processing time information of each topic to be processed in the questionnaire data to be processed, and score information of each topic to be processed in the questionnaire data to be processed. The data processing result may further include total processing time of the questionnaire data to be processed, and score sequence information of the topic groups having the association relationship in the questionnaire data to be processed.
Specifically, in this embodiment, after it is detected that the user triggers the submission control, a data processing result corresponding to the questionnaire data to be processed is obtained; or, after detecting that the user triggers the viewing result control, acquiring a data processing result corresponding to the to-be-processed questionnaire data. Of course, in this embodiment, when it is detected that the administrator triggers the batch questionnaire validity detection control, the data processing result in the database may be obtained in batch.
And S120, determining the first processing reliability corresponding to the topic groups with the association relation based on the score sequence information of the topic groups with the association relation in the data processing result.
The scoring sequence information may be an answer selection item corresponding to each to-be-processed question in the question group, or an answer score corresponding to each to-be-processed question in the question group. Specifically, the first processing reliability corresponding to the topic group having the association relationship may be determined according to the score sequence information of the topic groups and the association relationship between the topic groups.
For example, if the association relationship between the topic groups is a repetitive sequence, it may be determined whether the score sequence information of the topic groups is consistent, and if not, the first processing reliability may be 0; or comparing the score sequence information of each topic group, determining the topic proportion with consistent score information, and taking the proportion as the first processing reliability. The number of topic groups having the same association relationship is not limited to two, and may also be three, etc.; the number of topic groups having an association relationship may be plural.
Of course, it should be noted that the arrangement order of each to-be-processed question in each question group of the repetitive sequences may be different, so that in the process of comparing the score sequence information of two question groups, the corresponding to-be-processed questions need to be searched for comparison according to the association relationship.
In an optional embodiment, the determining, based on the score sequence information of the topic groups having an association relationship in the data processing result, the first processing reliability corresponding to the topic groups having an association relationship includes: calculating a correlation coefficient between the score sequence information based on the score sequence information of each question group aiming at least two question groups with incidence relation in the questionnaire data to be processed; and determining the first processing reliability corresponding to the topic group with the association relation based on the correlation coefficient.
For example, taking the number of topic groups having an association relationship as 2 as an example, the correlation coefficient between the score sequence information of each topic group having an association relationship can be calculated by using the following formula:
wherein,
S1、S2respectively show having an association relationThe score sequence information of the two topic groups of (1), ρ (S)1,S2) Cov (S) shows the correlation coefficient between topic groups having a correlation1,S2) Is S1And S2Covariance of D (S)1)、D(S2) Are respectively S1And S2The variance of (c). The correlation coefficient calculated by the above formula takes the value of [ -1,1 [)]The closer the absolute value of the correlation coefficient is to 1, the higher the linear correlation between the scored sequence information of the two topic groups is indicated, and the closer the absolute value of the correlation coefficient is to 0, the lower the linear correlation between the scored sequence information of the two topic groups is indicated.
Further, after calculating a correlation coefficient between the score sequence information of each topic group having a correlation, the correlation coefficient may be directly used as the first processing reliability. If the number of topic groups having a correlation is two or more, the correlation coefficient between any two of the topic groups may be calculated based on the above formula, and the average value of the correlation coefficients may be used as the first process reliability, or the minimum value of the absolute values of the correlation coefficients may be used as the first process reliability.
Of course, the first processing reliability may be determined from each correlation coefficient after calculating the correlation coefficient between the score sequence information of the topic groups having the correlation relationship. If all the correlation coefficients are larger than the preset coefficient threshold value, the first processing reliability is credibility, and if the correlation coefficients smaller than the preset coefficient threshold value exist, the first processing reliability is not credibility; or, if the ratio of the number of correlation coefficients smaller than the preset coefficient threshold to all correlation coefficients does not exceed the preset ratio threshold, the first processing reliability is the reliability, and the like.
In this optional embodiment, by calculating the correlation coefficient between the score sequence information of each question group having an association relationship, and further obtaining the first processing reliability corresponding to the question group having an association relationship according to the correlation coefficient, the conventional method of adding a lie detection question that is not in accordance with the questionnaire purpose is abandoned, so that the first processing reliability based on the strongly associated question group is accurately determined, the validity of the questionnaire processing result is determined in combination with the strongly associated question, and the accuracy of the determined validity of the questionnaire processing result is improved.
And S130, determining a second processing reliability corresponding to each to-be-processed question based on the processing time information of each to-be-processed question in the data processing result.
The processing time information of the to-be-processed question can be the accumulated time length for the user to process the to-be-processed question, namely the time length for the user to edit the answer of the to-be-processed question. Specifically, the second processing reliability corresponding to each to-be-processed question can be calculated according to the processing time information of each to-be-processed question.
For example, the second processing reliability corresponding to the to-be-processed question may be determined according to the processing time information of the to-be-processed question and the comparison result of the preset processing time threshold. If the processing time information of the to-be-processed question is greater than the preset processing time threshold, the second processing reliability corresponding to the to-be-processed question is not reliable.
In another embodiment, the determining, based on the processing time information of each topic to be processed in the data processing result, a second processing reliability corresponding to each topic to be processed may further include: determining the processing time ratio of each to-be-processed question based on the processing time information of the to-be-processed questionnaire data and the processing time information of each to-be-processed question in the to-be-processed questionnaire data; and determining a second processing credibility corresponding to each to-be-processed question based on the processing time ratio of each to-be-processed question and a preset ratio threshold.
That is, the proportion of the processing time information of each question to be processed in the total processing time, that is, the processing time proportion, can be calculated according to the processing time information of the questionnaire data to be processed in the data processing result, that is, the total processing time, and the processing time information of each question to be processed; further, the processing time ratio is compared with a preset ratio threshold, and second processing credibility corresponding to each to-be-processed question is obtained according to the comparison result.
Optionally, if the processing time ratio of the to-be-processed question is greater than the preset ratio threshold, the second processing reliability corresponding to the to-be-processed question is not reliable. See, e.g., the following equation:
wherein, TnThe processing time information of the questionnaire data to be processed is completed for the nth tester,
processing time information of the mth to-be-processed question; ρ is a preset duty threshold. If the formula is satisfied, it can be determined that the second processing reliability corresponding to the to-be-processed question is not reliable.
In the optional embodiment, the processing time ratio of each to-be-processed question is calculated according to the processing time information of the to-be-processed questionnaire data and the processing time information of each to-be-processed question, and then the second processing reliability corresponding to each to-be-processed question is determined according to the processing time ratio of each to-be-processed question and a preset ratio threshold, so that the second processing reliability based on the processing time information is accurately determined, the validity of the questionnaire processing result is judged by combining the question processing time, and the accuracy of the judged validity of the questionnaire processing result is improved.
And S140, outputting the category to which the data processing result belongs according to the first processing reliability and the second processing reliability, wherein the category comprises a result invalid category and a result valid category.
In this embodiment, the type to which the data processing result belongs, that is, the data processing result may be determined to be the result invalid type or the result valid type, based on the first process reliability and the second process reliability.
For example, it is considered that if the data processing result of one or more questions to be processed exists in a questionnaire such as a psychological test questionnaire and the like, the data processing result may be considered as a result invalid category to avoid affecting the accuracy of data statistics or result evaluation. Therefore, in this embodiment, when both the first processing reliability corresponding to the topic group having the association relationship in the data processing result and the second processing reliability corresponding to each topic to be processed have reliability, the category to which the data processing result belongs may be output as a result valid category; otherwise, if the first processing reliability corresponding to the topic group with the association relationship is not reliable, or the second processing reliability corresponding to the topic to be processed is not reliable, the category to which the output data processing result belongs is the invalid category.
Optionally, in this embodiment, when both the first processing reliability corresponding to the topic group having the association relationship and the second processing reliability corresponding to each topic to be processed have no reliability, the class to which the output data processing result belongs may be a result invalid class. Or, if the first processing reliability corresponding to the topic groups with the association relationship is reliable, and the number of the to-be-processed topics with the second processing reliability that is not reliable does not exceed a preset number threshold, the class to which the output data processing result belongs may be the result valid class. Alternatively, if the first processing reliability corresponding to the topic group having the association relationship is reliable, and the proportion of the to-be-processed topics having the second processing reliability that is not reliable does not exceed the set proportion, the class to which the output data processing result belongs may be the result valid class.
According to the technical scheme of the embodiment, the validity judgment of the data processing result corresponding to the questionnaire data to be processed is realized by acquiring the data processing result corresponding to the questionnaire data to be processed, determining the first processing reliability corresponding to the topic group with the association relation according to the score sequence information of the topic group with the association relation in the data processing result, determining the second processing reliability corresponding to each topic to be processed according to the processing time information of each topic in the data processing result, and further determining the category to which the data processing result corresponding to the questionnaire data to be processed belongs according to the first processing reliability and the second processing reliability, wherein the method combines the score sequence information of the topic group with the association relation and the processing time of the topic to detect the validity of the questionnaire data processing result, so that the accuracy of the validity detection of the data processing result of the questionnaire is improved, the technical problems that whether the questionnaire result is effective or not can not be accurately determined and the internet questionnaire suitable for large-scale investigation can not be achieved in the prior art are solved.
Example two
Fig. 2 is a schematic flow chart of a method for determining validity of a questionnaire processing result according to a second embodiment of the present invention, which is complementary to the first embodiment and the second embodiment, and describes a process of outputting a category to which the data processing result belongs, based on the first processing reliability and the second processing reliability. As shown in fig. 2, the method includes:
s210, obtaining a data processing result corresponding to the questionnaire data to be processed, wherein the data processing result comprises score sequence information, processing time information and user image information.
The user image information may be an image of the collected answerer who processes the questionnaire data to be processed. Optionally, the user image information corresponding to the questionnaire data to be processed may be acquired by an image acquisition device such as a computer camera or a mobile phone camera.
In this embodiment, the data processing result may include user image information corresponding to each question to be processed, that is, in the process of answering the question of the questionnaire data to be processed, the user image information may be collected once every time the answerer answers one question to be processed.
S220, determining a first processing reliability corresponding to the topic groups with the association relation based on the score sequence information of the topic groups with the association relation in the data processing result, and determining a second processing reliability corresponding to each topic to be processed based on the processing time information of each topic to be processed in the data processing result.
And S230, determining the third processing reliability of each topic to be processed based on the user image information of each topic to be processed.
In an optional implementation manner, the determining the third processing reliability of each to-be-processed question based on the user image information of each to-be-processed question may be: determining the expression type of each question to be processed by the user based on the user image information of each question to be processed and a pre-trained facial expression recognition model; and determining the third processing credibility of each to-be-processed question according to the expression category of each to-be-processed question processed by the user.
The pre-trained facial expression recognition model can output a phenotype category corresponding to the user image information according to the input user image information. Further, if the expression category output by the facial expression recognition model is a preset invalid expression category, the third processing reliability of the to-be-processed question may be no reliability. Optionally, the preset invalid expression categories include, but are not limited to, annoyance, distraction, and the like.
In the optional implementation manner, the expression category of the question to be processed is identified through the pre-trained facial expression identification model and the user image information of the question to be processed, and then the third processing reliability of the question to be processed is determined according to the expression category, so that the third processing reliability based on the expression identification is accurately determined, the effectiveness of the questionnaire processing result is further judged in combination with the user expression, and the accuracy of the effectiveness of the questionnaire processing result is improved.
In another optional implementation manner, the determining, based on the user image information of each to-be-processed topic, a third processing reliability of each to-be-processed topic may further be: determining the expression characteristics and the limb characteristics of each topic to be processed by a user based on the user image information of each topic to be processed; and determining the third processing reliability of each to-be-processed question according to the expression characteristics and the limb characteristics of each to-be-processed question processed by the user.
Determining the third processing credibility of each to-be-processed question according to the expression features and the limb features of each to-be-processed question processed by the user, wherein the third processing credibility of each to-be-processed question may be: the method comprises the steps of obtaining preset invalid expression characteristics and invalid limb characteristics, comparing the expression characteristics and the limb characteristics of a to-be-processed question with the invalid expression characteristics and the invalid limb characteristics respectively, and determining that the third processing reliability of the to-be-processed question is not reliable if the characteristic distance between the expression characteristics and the invalid expression characteristics of the to-be-processed question exceeds a preset distance threshold or the characteristic distance between the limb characteristics and the invalid limb characteristics of the to-be-processed question exceeds a preset distance threshold.
Alternatively, the feature distance may be obtained by calculating the euclidean distance between features. The invalid expression features may be features describing invalid expression categories; the invalid limb characteristics can be characteristics describing the invalid limb action category, such as thinking limb actions of stroking cheeks, touching nose, bending head and the like.
In the optional implementation manner, the expression characteristics and the limb characteristics of the question to be processed by the user are acquired through the user image information of the question to be processed, and then the third processing reliability of the question to be processed is determined according to the expression characteristics and the limb characteristics, so that the third processing reliability based on the expression characteristics and the limb characteristics is accurately determined, the validity of the questionnaire processing result is further judged by combining the user expression and the limb actions, and the accuracy of the judged validity of the questionnaire processing result is improved.
S240, outputting the category of the data processing result according to the first processing reliability, the second processing reliability and the third processing reliability.
Specifically, the present embodiment may determine the category to which the data processing result belongs, by combining the first processing reliability, the second processing reliability, and the third processing reliability.
Optionally, the outputting, according to the first processing reliability, the second processing reliability, and the third processing reliability, the category to which the data processing result belongs includes: and if the first processing reliability, the second processing reliability and the third processing reliability are credibility, outputting the category to which the data processing result belongs as a result valid category.
That is, when the first process reliability of all the topic groups having the association relationship is confidence, the second process reliability of all the topics to be processed is confidence, and the third process reliability of all the topics to be processed is confidence, the category to which the output data processing result belongs is the result valid category.
Optionally, for the data processing result belonging to the result valid category, the data processing result may be retained for subsequent statistical analysis and calculation; for data processing results belonging to the category of result invalidation, the data processing results may be discarded from the database.
In this optional embodiment, only when the first processing reliability, the second processing reliability, and the third processing reliability of the data processing result are all reliable, the data processing result is determined to be a valid result category, that is, the data processing result is valid, and in other cases, the data processing result is determined to be an invalid result category, thereby avoiding that the accuracy of data statistics or evaluation is affected when some subjects do not have reliable.
Of course, in another alternative embodiment, when the first process reliability, the second process reliability, and the third process reliability are all not reliable, the category to which the output data processing result belongs may be the result invalid category, otherwise, the category to which the output data processing result belongs may be the result valid category.
According to the technical scheme of the embodiment, the third processing reliability corresponding to the to-be-processed question is determined through the user image information of the to-be-processed question, the category to which the data processing result belongs is judged according to the first processing reliability, the second processing reliability and the third processing reliability, validity judgment based on the strongly-associated question group, the question processing time and the question processing image is achieved, the validity of the data processing result is obtained through multi-parameter fusion analysis of the strongly-associated question group, the question processing time and the question processing image, and the validity of the questionnaire processing result is detected more accurately. Moreover, the method is suitable for the Internet questionnaire of large-scale survey, and can be used for carrying out batch detection on the data processing result of the Internet questionnaire in the database.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an apparatus for determining validity of a questionnaire processing result according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes a result obtaining module 310, a first module 320 for determining credibility, a second module 330 for determining credibility, and a category output module 340. Wherein:
a result obtaining module 310, configured to obtain a data processing result corresponding to the questionnaire data to be processed, where the data processing result includes score sequence information and processing time information;
a reliability determining first module 320, configured to determine, based on the score sequence information of the topic groups having an association relationship in the data processing result, a first processing reliability corresponding to the topic groups having an association relationship;
a reliability determining second module 330, configured to determine, based on processing time information of each to-be-processed question in the data processing result, a second processing reliability corresponding to each to-be-processed question;
a category output module 340, configured to output a category to which the data processing result belongs according to the first processing reliability and the second processing reliability, where the category includes a result invalid category and a result valid category.
Optionally, the data processing result further includes user image information, and the category output module 340 includes a third unit for determining reliability and a category determination unit; the reliability determination third unit is used for determining a third processing reliability of each to-be-processed question based on the user image information of each to-be-processed question; the category determination unit is configured to output a category to which the data processing result belongs, based on the first processing reliability, the second processing reliability, and the third processing reliability.
Optionally, the third unit for determining reliability is specifically configured to:
determining the expression type of each question to be processed by the user based on the user image information of each question to be processed and a pre-trained facial expression recognition model; and determining the third processing credibility of each to-be-processed question according to the expression category of each to-be-processed question processed by the user.
Optionally, the third unit for determining reliability is specifically configured to:
determining the expression characteristics and the limb characteristics of each topic to be processed by a user based on the user image information of each topic to be processed; and determining the third processing reliability of each to-be-processed question according to the expression characteristics and the limb characteristics of each to-be-processed question processed by the user.
Optionally, the first module 320 for determining reliability is specifically configured to:
calculating a correlation coefficient between the score sequence information based on the score sequence information of each question group aiming at least two question groups with incidence relation in the questionnaire data to be processed; and determining the first processing reliability corresponding to the topic group with the association relation based on the correlation coefficient.
Optionally, the second module for determining reliability 330 is specifically configured to:
determining the processing time ratio of each to-be-processed question based on the processing time information of the to-be-processed questionnaire data and the processing time information of each to-be-processed question in the to-be-processed questionnaire data; and determining a second processing credibility corresponding to each to-be-processed question based on the processing time ratio of each to-be-processed question and a preset ratio threshold.
Optionally, the category determining unit is specifically configured to:
and if the first processing reliability, the second processing reliability and the third processing reliability are credibility, outputting the category to which the data processing result belongs as a result valid category.
According to the technical scheme of the embodiment, the validity judgment of the data processing result corresponding to the questionnaire data to be processed is realized by acquiring the data processing result corresponding to the questionnaire data to be processed, determining the first processing reliability corresponding to the topic group with the association relation according to the score sequence information of the topic group with the association relation in the data processing result, determining the second processing reliability corresponding to each topic to be processed according to the processing time information of each topic in the data processing result, and further determining the category to which the data processing result corresponding to the questionnaire data to be processed belongs according to the first processing reliability and the second processing reliability, wherein the method combines the score sequence information of the topic group with the association relation and the processing time of the topic to detect the validity of the questionnaire data processing result, so that the accuracy of the validity detection of the data processing result of the questionnaire is improved, the technical problems that whether the questionnaire result is effective or not can not be accurately determined and the internet questionnaire suitable for large-scale investigation can not be achieved in the prior art are solved.
The device for judging the validity of the questionnaire processing data provided by the embodiment of the invention can execute the method for judging the validity of the questionnaire processing data provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example four
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention. The electronic device 10 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM)12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to the bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 executes the respective methods and processes described above, such as the validity determination method of the questionnaire processing data.
In some embodiments, the method for determining the validity of questionnaire processing data may be implemented as a computer program that is tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described method of determining the validity of questionnaire processing data may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method of validity determination of questionnaire processing data in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
The computer program for implementing the method for determining the validity of questionnaire processing data of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
EXAMPLE five
An embodiment of the present invention further provides a computer-readable storage medium, where a computer instruction is stored in the computer-readable storage medium, where the computer instruction is used to enable a processor to execute a method for determining validity of questionnaire processing data, where the method includes:
acquiring a data processing result corresponding to questionnaire data to be processed, wherein the data processing result comprises score sequence information and processing time information;
determining a first processing reliability corresponding to the topic group with the association relation based on the score sequence information of the topic group with the association relation in the data processing result;
determining a second processing reliability corresponding to each to-be-processed question based on the processing time information of each to-be-processed question in the data processing result;
and outputting the category to which the data processing result belongs according to the first processing reliability and the second processing reliability, wherein the category comprises a result invalid category and a result valid category.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for judging validity of a questionnaire processing result is characterized by comprising the following steps:
acquiring a data processing result corresponding to questionnaire data to be processed, wherein the data processing result comprises score sequence information and processing time information;
determining a first processing reliability corresponding to the topic group with the association relation based on the score sequence information of the topic group with the association relation in the data processing result;
determining a second processing reliability corresponding to each to-be-processed question based on the processing time information of each to-be-processed question in the data processing result;
and outputting the category to which the data processing result belongs according to the first processing reliability and the second processing reliability, wherein the category comprises a result invalid category and a result valid category.
2. The method of claim 1, wherein the data processing results further include user image information, and wherein outputting the category to which the data processing results belong based on the first processing confidence level and the second processing confidence level includes;
determining a third processing reliability of each to-be-processed question based on the user image information of each to-be-processed question;
and outputting the category to which the data processing result belongs according to the first processing reliability, the second processing reliability and the third processing reliability.
3. The method according to claim 2, wherein the determining a third processing reliability of each of the to-be-processed topics based on the user image information of each of the to-be-processed topics comprises:
determining the expression type of each question to be processed by the user based on the user image information of each question to be processed and a pre-trained facial expression recognition model;
and determining the third processing credibility of each to-be-processed question according to the expression category of each to-be-processed question processed by the user.
4. The method according to claim 2, wherein the determining a third processing reliability of each of the to-be-processed topics based on the user image information of each of the to-be-processed topics comprises:
determining the expression characteristics and the limb characteristics of each topic to be processed by a user based on the user image information of each topic to be processed;
and determining the third processing reliability of each to-be-processed question according to the expression characteristics and the limb characteristics of each to-be-processed question processed by the user.
5. The method according to claim 1, wherein the determining a first processing reliability corresponding to the associated topic group based on the score sequence information of the associated topic group in the data processing result comprises:
calculating a correlation coefficient between the score sequence information based on the score sequence information of each question group aiming at least two question groups with incidence relation in the questionnaire data to be processed;
and determining the first processing reliability corresponding to the topic group with the association relation based on the correlation coefficient.
6. The method according to claim 1, wherein the determining a second processing reliability corresponding to each topic to be processed based on the processing time information of each topic to be processed in the data processing result comprises:
determining the processing time ratio of each to-be-processed question based on the processing time information of the to-be-processed questionnaire data and the processing time information of each to-be-processed question in the to-be-processed questionnaire data;
and determining a second processing credibility corresponding to each to-be-processed question based on the processing time ratio of each to-be-processed question and a preset ratio threshold.
7. The method of claim 2, wherein outputting the class to which the data processing result belongs based on the first processing confidence, the second processing confidence, and the third processing confidence comprises:
and if the first processing reliability, the second processing reliability and the third processing reliability are credibility, outputting the category to which the data processing result belongs as a result valid category.
8. An apparatus for judging validity of questionnaire processing data, comprising:
the result acquisition module is used for acquiring a data processing result corresponding to the questionnaire data to be processed, wherein the data processing result comprises score sequence information and processing time information;
a reliability determination first module, configured to determine, based on score sequence information of topic groups having an association relationship in the data processing result, a first processing reliability corresponding to the topic groups having an association relationship;
a reliability determination second module, configured to determine, based on processing time information of each to-be-processed question in the data processing result, a second processing reliability corresponding to each to-be-processed question;
and the category output module is used for outputting the category to which the data processing result belongs according to the first processing reliability and the second processing reliability, wherein the category comprises a result invalid category and a result valid category.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method of determining validity of a questionnaire processing result of any of claims 1-7.
10. A computer-readable storage medium, wherein a computer instruction is stored, and the computer instruction is configured to cause a processor to execute a method for determining validity of a questionnaire processing result according to any one of claims 1-7.
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