Academic journal multifunctional processing method and device for subject classification of department of education

Abstract

The invention relates to a multifunctional processing method and device for academic periodicals for subject classification of the department of education, and belongs to the technical field of multifunctional processing of periodical classification, a plurality of types of evaluation parameters are collected, a plurality of types of full-text page views, periodical influence factors, reference rates, posting amounts and the like are involved, and all aspects of the periodicals are comprehensively embodied; pre-processing and normalizing parameters: ensuring the accuracy and synchronism of numerical values by applying a pre-processing and normalizing mode of the logic; calculating a distinguishing quantity factor: calculating the variation quantity of each parameter and the distinguishing quantity factor, and analyzing the distinguishing quantity of the numerical analysis journal; and presenting a global score: calculating the global score according to the distinguishing quantity factor and the criticality so as to present the periodical quality state. In a word, according to the multifunctional academic journal processing method for subject classification of the department of education, the logicality and high efficiency of journal management and control of a subject classification subsystem can be greatly improved, and multifunctional guarantee is provided for the subject classification subsystem in a complicated journal application environment.

Description

Technical Field

[0001] The present invention belongs to the technical field of multi-functional processing of journal classification, and specifically relates to a method and device for multi-functional processing of academic journals according to the subject classification of the Ministry of Education. Background Art

[0002] As mentioned in the prior art solution with the patent publication number "CN112989070B", its subject classification subsystem is used to classify the journals in the basic database according to different subjects of the Ministry of Education to achieve the goal of subject alignment.

[0003] As can be seen from the above, currently the subject classification subsystem is generally only used for the classification of journals with a single function, lacking the overall analysis function of several types of evaluation parameters of journals, and also lacking efficient parameter pre-processing and standardization methods, resulting in the quality of journals not being easily guaranteed, which is not conducive to the accuracy of subsequent analysis and planning. Currently, the subject classification subsystem also lacks a flexible estimation parameter structure and a differential quantity factor operation method, and it is not easy to globally and accurately reflect the overall quality status of journals. Summary of the Invention

[0004] To solve the defects in the prior art, the present invention proposes a method and device for multi-functional processing of academic journals according to the subject classification of the Ministry of Education. The collection of several types of evaluation parameters: involves several types such as full-text view volume, journal impact factor, citation rate, and publication volume, comprehensively reflecting all aspects of the journal; parameter pre-processing and standardization: using logical pre-processing and standardization methods to ensure the accuracy and synchronization of numerical values; differential quantity factor operation: by calculating the change amount and differential quantity factor of each parameter, numerically analyzing the differential quantity of the journal; global score presentation: presenting the journal quality status by calculating the global score based on the differential quantity factor and key degree. In short, the method for multi-functional processing of academic journals according to the subject classification of the Ministry of Education of the present invention can highly improve the logic and efficiency of journal management in the subject classification subsystem, and provide multi-functional guarantee for the subject classification subsystem in a complex journal application environment.

[0005] The present invention adopts the following technical solutions.

[0006] A method for multi-functional processing of academic journals according to the subject classification of the Ministry of Education includes: The subject classification subsystem classifies the journals in the basic database according to different subjects of the Ministry of Education to achieve the goal of subject alignment; The method for multi-functional processing of academic journals according to the subject classification of the Ministry of Education further includes: Step1, collecting the numerical values of several types of evaluation parameters of the journal; Step2, performing pre-processing and standardization on the numerical values collected in Step1; Step 3. Calculate the change amount of each evaluation parameter based on the past values of various types of evaluation parameters for the set time period. , and convert it into a discrimination factor ; Step 4. Multiply the discrimination factor of each parameter by its corresponding key degree to obtain the global estimation score ; Step 5. Characterize the overall quality status of the journal based on the obtained global estimation score.

[0007] Furthermore, in Step 1, the values of the evaluation parameters include a value group formed by the full - text view volume, journal impact factor, citation rate, and publication volume of the journal.

[0008] Furthermore, in Step 2, perform normalization processing using the following equation: ; where is the source value, is the mean of the value group, is the variance of the value group, is the normalized value.

[0009] Furthermore, in Step 2, in the equation : The source value is the value aggregated within the value group; The mean is the mean of all values within the value group; The variance reflects the dispersion degree of the values and represents the mean of the deviation amplitudes of the values from the mean.

[0010] Furthermore, in Step 3, the equation for converting into the discrimination factor is: and ; where and are the parameter values of the current time period and the previous time period respectively, is the mode that correlates the change amount to the discrimination factor.

[0011] Furthermore, in Step 3, in the equations and : is the parameter value of the current time period; is the parameter value of the previous time period; The change amount is the change amount between two consecutive time points; it represents the change amplitude of the parameter value in the current time period corresponding to the previous time period, via the change amount obtains a ratio, where a ratio higher than zero represents an increase, a ratio higher than zero represents a decrease, or a ratio of zero represents constancy; is a mode for associating the change amount with the discrimination factor ; this factor is used to compare the magnitudes of the effects between different parameters.

[0012] Furthermore, in Step4, the operation equation for estimating the score is: ; here, is the number of parameters; the operation equation for estimating the score inside: the discrimination factor of each parameter represents the amplitude of the effect of the change of this parameter on the global discrimination of the journal; the key degree reflects the corresponding key importance of each parameter in all estimations; the cumulative amount of the key degree is one.

[0013] Furthermore, in Step5, the global estimation score of the obtained journal value is analyzed. When it is less than the predefined critical amount , a message indicating that the journal is in a low-quality state is displayed on the display screen of the subject classification subsystem, and the journal can be removed from its classified category or marked as low-quality.

[0014] Furthermore, Step5 also includes: obtaining the Pearson coefficient , using the value to determine the action level of each parameter, where is the Pearson coefficient of the th parameter and the global estimation score; the correlation coefficient represents the correlation between the th parameter and the global estimation score; Furthermore, in Step3, the mode of associating the change amount with the discrimination factor is the sectioning mode. According to the state of the change amount being higher than zero or lower than zero and the magnitude of its modulus, the change amount is cut into different ranges, and specific discrimination factor values are given to each range; specifically: the state of the change amount being higher than zero or lower than zero: Positive change amount: represents an increase in the parameter; Negative variation: represents a decrease in a parameter; Modulus of the variation High or low: based on the modulus of the variation , and cut it into different ranges; Divide the variation into several ranges; Set respective dedicated discrimination factor from low to high for each range from low to high.

[0015] An optimized processing device for electronic information, comprising: Subject classification subsystem; the subject classification subsystem classifies the periodicals in the basic database according to different subjects of the Ministry of Education to achieve the goal of subject alignment; The subject classification subsystem further includes; Collection module, which is used to collect the numerical values of the evaluation parameters of various types of periodicals; Specification module, which is used to perform pre-processing and standardization on the collected numerical values; Operation module, which is used to calculate the variation of each evaluation parameter for the past numerical values of each type of evaluation parameter over a set period , and convert it into a discrimination factor ; Estimation module, which is used to multiply the discrimination factor of each parameter by its corresponding key degree to obtain the global estimation score ; Quality module, which is used to represent the overall quality status of the periodical according to the obtained global estimation score.

[0016] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: Collection of several types of evaluation parameters: involving several types such as full-text view volume, journal impact factor, citation rate, and publication volume, comprehensively reflecting all aspects of the periodical; Pre-processing and standardization of parameters: Using logical pre-processing and standardization methods to ensure the accuracy and synchronization of numerical values; Calculation of discrimination factor: Numerically analyze the discrimination of the periodical by calculating the variation and discrimination factor of each parameter; Presentation of global score: Present the quality status of the periodical by calculating the global score based on the discrimination factor and key degree. In short, the multi-functional processing method for academic periodicals according to the subject classification of the Ministry of Education of the present invention can highly improve the logic and efficiency of periodical management in the subject classification subsystem, and provide multi-functional guarantee for the subject classification subsystem in a complex periodical application environment. Description of the drawings

[0017] Figure 1It is a partial flowchart of the multi-functional processing method for academic journals according to the subject classification of the Ministry of Education in the present invention; Figure 2 It is a partial structural schematic diagram of the multi-functional processing device for academic journals according to the subject classification of the Ministry of Education in the present invention. Detailed implementation manners

[0018] Currently, the subject classification subsystem is generally only used for the classification of journals with a single function, lacking the overall analysis function of several types of evaluation parameters of journals, and also lacking an efficient parameter pre-processing and standardization method, resulting in the difficulty of ensuring the quality of journals and being unfavorable to the accuracy of subsequent analysis and planning. Currently, the subject classification subsystem also lacks a flexible estimation parameter framework and a discrimination factor operation method, and it is not easy to globally and accurately reflect the overall quality status of journals.

[0019] Therefore, the efficient multi-functional processing method for academic journals according to the subject classification of the Ministry of Education in the present invention can perform all aggregations, pre-processings, standardizations and analyses on the evaluation parameters of various types of journals, and through several types of estimation parameter frameworks and discrimination factor operations, give an accurate journal quality estimation, which is beneficial to the accuracy of subsequent analysis and planning. The multi-functional processing method for academic journals according to the subject classification of the Ministry of Education can improve the efficiency and accuracy of parameter processing.

[0020] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described herein are only some of the embodiments of the present invention, rather than all embodiments. According to the spirit of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] As Figure 1 shown, a multi-functional processing method for academic journals according to the subject classification of the Ministry of Education in the present invention includes: The subject classification subsystem classifies the journals in the basic database according to different disciplines of the Ministry of Education to achieve the goal of subject alignment; The multi-functional processing method for academic journals according to the subject classification of the Ministry of Education further includes: Step1, collecting the values of the evaluation parameters of various types of journals; In a preferred but non-limiting embodiment of the present invention, in Step1, the values of the evaluation parameters include a value group formed by the values of the full-text view volume, journal impact factor, citation rate and publication volume of the journal.

[0022] The corresponding values within the value group formed by the full-text view count, journal impact factor, citation rate, and publication volume of the journal can be obtained via the basic database, ensuring the completeness and accuracy of the values.

[0023] Step2, perform pre-processing and normalization on the values collected in Step1; In a preferred but non-limiting embodiment of the present invention, in Step2, the following equation is used to perform the normalization process: ; Here, is the source value, is the mean of the value group, is the variance of the value group, is the normalized value.

[0024] In a preferred but non-limiting embodiment of the present invention, in Step2, within the equation : The source value is the value collected within the value group, such as the full-text view count of a journal; The mean is the mean of all the values within the value group, representing the midpoint trend of the values; The variance reflects the dispersion of the values and represents the mean of the deviation amplitudes of the values from the mean.

[0025] The normalized value is obtained by subtracting the source value from the mean and then dividing by the variance, transforming the source value into the form of a bell-shaped curve with a mean of zero and a variance of one.

[0026] After normalization, each value is characterized as the variance increment corresponding to the mean, enabling values of different attributes to be analyzed and compared on the same scale, eliminating the interference of their respective measurement units.

[0027] Set several types of estimation parameter frameworks according to the journal characteristics and specific requirements. This framework includes 4 types: full-text view count, journal impact factor, citation rate, and publication volume.

[0028] Step3, for the historical values of each type of evaluation parameter over a set period, calculate the change amount of each evaluation parameter and transform it into a discrimination factor ; In a preferred but non-limiting embodiment of the present invention, in Step3, the equation for transforming into the discrimination factor is: And ; Here, and are the parameter values of the current time period and the previous time period respectively, is a mode that correlates the change amount to the discrimination amount factor; In a preferred but non-limiting embodiment of the present invention, in Step3, the equation and inside: is the parameter value of the current time period; just like, if the parameter value of the current time period being parsed now, it is usually the full text view volume in the most recent three months.

[0029] is the parameter value of the previous time period; just like, the full text view volume in the three months before the most recent three months.

[0030] The change amount The equation operation of is the change amount between two consecutive time points; it represents the change amplitude of the parameter value of the current time period corresponding to the previous time period. Through the equation of the change amount a ratio can be obtained. If the ratio is higher than zero, it represents an increase; if the ratio is higher than zero, it represents a decrease; or if the ratio is zero, it represents constancy; is a mode for correlating the change amount to the discrimination amount factor ; this factor can be used to compare the magnitudes of the action amounts between different parameters and assist in identifying which factors have the highest action amount on the change of the journal.

[0031] The change amount gives a simple and straightforward parameter for measuring a type of change; the discrimination amount factor then digitizes this type of change into an impact on the overall evaluation, enabling the enterprise to more accurately identify and manage the key change factors in the journal.

[0032] Step4, multiply the discrimination amount factor of each parameter by its corresponding key degree to obtain the global estimation score ; In a preferred but non-limiting embodiment of the present invention, in Step4, the operation equation of the estimation score is: ; here, is the number of parameters; The operation equation of the estimation score inside: The discrimination amount factor of each parameter represents the action amplitude of the change of this parameter on the global discrimination amount of the journal; and it is obtained through the operation in Step3; The key degree reflects the corresponding key importance of each parameter in all estimations; the setting of the key degree often depends on the specific requirements and emphases of the subject classification subsystem.

[0033] Accumulated amount of criticality is one, ensuring the correctness of the estimated score.

[0034] The estimated score is a global score used to reflect the overall quality status of a journal during a set period; by multiplying the difference factor of each parameter by its criticality and obtaining the accumulated amount, the estimated score can reflect the global impact of each parameter on the global quality of the journal.

[0035] This equation allows the subject classification subsystem to aggregate several types of parameters into a single score, thus streamlining the complex journal analysis; the estimated score can be used as a basis for the subject classification subsystem planning to assist in identifying aspects that need attention and improvement; by adjusting the criticality, the subject classification subsystem can flexibly adjust the focus of the estimation according to different planning priorities and changes in journal requirements; the estimated score can also be used for comparative analysis under different time periods or different plans to assist the subject classification subsystem in tracking improvement effects and improving the plan.

[0036] Step5, characterizing the overall quality status of the journal based on the obtained global estimated score.

[0037] In a preferred but non-limiting embodiment of the present invention, in Step5, analyze the obtained global estimated score of the journal value. When it is less than a predefined critical amount , display a message indicating that the journal is in a low-quality state on the display screen of the subject classification subsystem, and the journal can be removed from its classified category or marked as low-quality.

[0038] In a preferred but non-limiting embodiment of the present invention, Step5 further includes: analyzing the specific change amplitude of each parameter to obtain the Pearson coefficient , using value to determine the influence level of each parameter, where is the Pearson coefficient of the th parameter and the global estimated score; correlation coefficient represents the th parameter and the relevance between the global estimated score; its value is within the interval. Positive one represents a comprehensive positive proportional relationship, negative one represents a comprehensive inverse proportional relationship, and zero represents no relationship.

[0039] Use to determine the influence level of each parameter; The higher, the greater the impact of the parameter on the global estimated score; by comparing Based on the high or low value, the parameter that has the greatest impact on the global estimation score can be identified.

[0040] In a preferred but non-limiting embodiment of the present invention, in Step 3, the mode of associating the change amount with the discrimination amount factor is the segmentation mode. According to the state of the change amount being higher than zero or lower than zero and the high or low value of its modulus, the change amount is cut into different ranges, and a dedicated discrimination amount factor value is given to each range to more accurately reflect the amplitude and trend of the parameter change's impact on the global discrimination amount of the journal. Specifically: Change amount State of being higher than zero or lower than zero: Positive change amount: Represents an increase in the parameter; Negative change amount: Represents a decrease in the parameter; Modulus of the change amount High or low: According to the modulus of the change amount , it is cut into different ranges; for example, the modulus of the change amount is cut into three ranges from low to high, and are respectively defined as low amount change, medium amount change, and high amount change; The change amount is divided into several ranges, such as: ; And are predefined critical amounts to distinguish different change amplitudes; A dedicated discrimination amount factor from low to high is set for each range from low to high.

[0041] The segmentation mode comprehensively controls the level and trend of the change amount, more accurately reflects its impact amplitude on the global discrimination amount, and flexibly adjusts the range cutting and factors according to specific requirements, suitable for different analysis environments.

[0042] As Figure 2 shown, an optimization processing device for electronic information according to the present invention includes: Subject classification subsystem; The subject classification subsystem classifies the journals in the basic database according to different disciplines of the Ministry of Education to achieve the goal of subject alignment; The subject classification subsystem further includes; Collection module, which is used to collect the numerical values of various evaluation parameters of the journals; Specification module, which is used to perform pre-processing and standardization on the collected numerical values; Operation module, which is used to calculate the change amount of each type of evaluation parameter for the past numerical values within a set time period, and convert it into a discrimination amount factor An estimation module for multiplying the difference quantity factors of each parameter by their corresponding key degrees to obtain a global estimation score ; A quality module for characterizing the overall quality status of a journal based on the obtained global estimation score. The subject classification subsystem can be a computer.

[0043] The beneficial effects of the present invention are as follows. Compared with the prior art, the technical effects of the present invention include: Collection of several types of evaluation parameters: involving several types such as full-text view volume, journal impact factor, citation rate, and publication volume, comprehensively reflecting all aspects of the journal; pre-processing and standardization of parameters: using logical pre-processing and standardization methods to ensure the accuracy and synchronization of values; calculation of difference quantity factors: numerically analyzing the difference quantity of the journal by calculating the change quantity and difference quantity factors of each parameter; presentation of global score: presenting the journal quality status by calculating the global score based on the difference quantity factors and key degrees. In short, the multi-functional processing method for academic journals according to the subject classification of the Ministry of Education of the present invention can highly improve the logic and efficiency of journal management in the subject classification subsystem, and provide multi-functional guarantee for the subject classification subsystem in a complex journal application environment.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention, and any random modifications or equivalent replacements without departing from the spirit and scope of the present invention shall be covered within the protection scope of the claims of the present invention.

Claims

1. A multifunctional processing method for academic journals classified by the Ministry of Education, characterized in that: include: The subject classification subsystem classifies the journals in the basic database according to the different subjects of the Ministry of Education to achieve the goal of subject alignment; The multifunctional processing method for academic journals classified by the Ministry of Education also includes: Step 1, collect the values ​​of evaluation parameters of each type of journal; Step 2, perform pre-processing and normalization on the values ​​collected in Step 1; Step 3: Calculate the change of each evaluation parameter based on the past values ​​of each type of evaluation parameter in the set time period. , and changes into a distinguishing factor ; Step 4: Factor the difference between each parameter With its corresponding criticality Multiply to get the global estimated score ; Step 5: Characterize the overall quality status of the journal based on the global estimated score obtained.

2. The multifunctional processing method for academic journals classified by the subject of the Ministry of Education according to claim 1 is characterized in that: In Step 1, the values ​​of the evaluation parameters include a numerical group formed by the values ​​of the journal's full-text views, journal impact factor, citation rate, and number of publications.

3. The multifunctional processing method for academic journals classified by the subject of the Ministry of Education according to claim 2 is characterized in that: In Step 2, normalization is performed using the following equation: ; Here, is the source value, is the mean of the value group, is the variance of the value group, is the normalized value; In Step 2, equation Inside: Source Value is the value aggregated within the value group; mean is the mean of all values ​​in the value group; variance To reflect the dispersion of the values, it represents the average of the deviations between the values ​​and the mean.

4. The multifunctional processing method for academic journals classified by the subject of the Ministry of Education according to claim 3 is characterized in that: In Step 3, change to the distinguishing factor The operational equation is: and ; Here, and are the parameter values ​​of the current period and the previous period respectively, It is a pattern that relates the amount of variation to the distinguishing factor.

5. The multifunctional processing method for academic journals classified by subject of the Ministry of Education according to claim 4 is characterized in that: In Step 3, equation and Inside: is the parameter value of the current period; is the parameter value of the previous period; Change is the change between two consecutive time points; it represents the change amplitude of the parameter value of the current period corresponding to the previous period, through the change Get a ratio, where the ratio is greater than zero for increasing, the ratio is greater than zero for decreasing, or the ratio is zero for constant; A mode for changing the amount Related to the Discrimination Factor ; This factor is used to compare the effects of different parameters.

6. The multifunctional processing method for academic journals classified by the subject of the Ministry of Education according to claim 5 is characterized in that: In Step 4, the calculation equation for estimating the score is: ; Here, is the number of parameters; Equation for estimating the score Inside: The discrimination factor of each parameter represents the magnitude of the effect of the change of the parameter on the global discrimination of the journal; Criticality It reflects the relative importance of each parameter in the entire estimation; The cumulative amount of criticality Yes.

7. The multifunctional processing method for academic journals classified by subject of the Ministry of Education according to claim 6 is characterized in that: In Step 5, the global estimated score of the obtained journals is The value is parsed and is less than a predefined threshold. When the journal is in low quality, a message will be displayed on the display screen of the subject classification subsystem, and the journal can be removed from its classification category or marked as low quality.

8. The multifunctional processing method for academic journals classified by the subject of the Ministry of Education according to claim 7 is characterized in that: Step 5 also includes: obtaining the Pearson coefficient ,use The value of is used to determine the level of action of each parameter. It is The Pearson coefficient of each parameter and the global estimated score; Correlation coefficient Representative The correlation between the parameters and the global estimation score.

9. The multifunctional processing method for academic journals classified by subject of the Ministry of Education according to claim 8 is characterized in that: In Step 3, relate the variation to the mode of the distinguishing factor It is a segmentation mode. According to the state of the change amount being higher or lower than zero combined with the high or low modulus, the change amount is divided into different ranges, and a special distinguishing factor value is given to each range; specifically: Change Above zero or below zero: Positive change: represents the increase of the parameter; Negative change: represents a decrease in the parameter; Modulus of change High and low: According to the modulus of the change , cut it into different ranges; Change Divided into several ranges; Set a dedicated discrimination factor from low to high for each range from low to high.

10. An optimization processing device for electronic information, characterized in that: include: Subject classification subsystem; The subject classification subsystem classifies the journals in the basic database according to the different subjects of the Ministry of Education to achieve the goal of subject alignment; The subject classification subsystem also includes; A collection module, which is used to collect the values ​​of evaluation parameters of various types of journals; A normalization module, which is used to perform pre-processing and normalization on the collected values; The calculation module is used to calculate the change of each evaluation parameter based on the past values ​​of each type of evaluation parameter in the set period. , and changes into a distinguishing factor ; Estimation module, which is used to distinguish the factors of each parameter With its corresponding criticality Multiply to get the global estimated score ; The quality module is used to characterize the overall quality status of the journal based on the global estimated score obtained.

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