MBTI intelligent questionnaire method, system and personality analysis device based on MindSpore

Abstract

The present invention belongs to the field of artificial intelligence technology, and specifically relates to an MBTI intelligent questionnaire method, system and personality analysis device based on MindSpore. The solution uses the MBTI scale to analyze the user's personality type. In order to collect the user's answers to various questions in the MBTI scale, the present invention first captures the user's historical behavior data on the Internet, and then analyzes the user's relevant data through a large language model to determine the answers to some questions in the MBTI scale. Then, based on the remaining questions and the user's interests and hobbies, topics are organized, and a continuous dialogue is conducted with the user using an AI dialogue tool. The user's answers to the remaining questions are learned through the dialogue with the user. Finally, the user's personality type is classified based on the feature information corresponding to the answers to all the questions collected. The present invention solves the problem that the existing questionnaire survey method is easily affected by the social desirability effect and fatigue effect, and the evaluation results are inaccurate.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence technology, and in particular relates to a MindSpore-based MBTI intelligent questionnaire method, system, and personality analysis device. Background Art

[0002] The Myers-Briggs Type Indicator (MBTI) is a personality assessment and self-reporting tool for categorizing personality types. Based on the psychological type theory of Swiss psychologist Carl Jung, it categorizes users into 16 different personality types based on four dimensions and two opposing states: Extraversion (E) / Introversion (I), which describes how individuals gain energy; Sensing (S) / Intuition (N), which describes how they receive information; Thinking (T) / Feeling (F), which describes the decision-making process; and Judging (J) / Perceiving (P), which describes their attitude toward the external world. The MBTI is now used as a career guidance tool, for job selection, in human resources recruitment, and for personalized product design. However, the various versions currently available in the market cater only to popular tastes, and the reliability and validity of its psychological dimensions are questionable.

[0003] In practical applications, the traditional MBTI personality type assessment relies on traditional questionnaires that are manually completed by participants. This often encounters numerous practical issues, such as the social desirability effect and fatigue effect, which pose challenges to the accuracy and consistency of the assessment. The social desirability effect refers to the tendency for people, when evaluating themselves or taking surveys, to exhibit behaviors and attitudes that align with social expectations in order to gain social recognition and acceptance. This effect is both idiosyncratic and situational, primarily manifesting as a "pretend" effect. When answering survey questions, people often deny socially unacceptable behaviors and affirm their positive traits to appear socially desirable. Fatigue refers to the phenomenon in which participants, due to prolonged or excessive participation in experiments, experience a weakening of their emotions and motivation, manifesting as a decline in performance and leading to deviations from actual assessment results. Summary of the Invention

[0004] In order to solve the problem that the existing method of obtaining MBTI scale information to evaluate user personality through questionnaire surveys is easily affected by the social desirability effect and fatigue effect, resulting in inaccurate evaluation results, the present invention provides an MBTI intelligent questionnaire method, system and personality analysis device based on MindSpore.

[0005] The technical solution provided by the present invention is:

[0006] An MBTI intelligent questionnaire method based on MindSpore includes the following steps:

[0007] S1: The 93 questions in the MBTI standard question bank are divided into four dimensions according to Extraversion E and Introversion I, Sensing S and Intuition N, Thinking T and Feeling F, Judging J and Perceiving P.

[0008] S2: Based on the user's decision-making tendency, determine a variety of feature information for evaluating the user's personality attributes in four dimensions.

[0009] Among them, (1) the characteristics of evaluating extroversion and introversion include: social frequency, social breadth, and psychological resources required for social interaction. (2) The characteristics of evaluating perception and intuition include: information processing methods and attention placement. (3) The characteristics of evaluating thinking and feeling include: individual value orientation, individual decision-making basis, and problem-solving orientation. (4) The characteristics of evaluating judgment and perception include: life behavior style, attitude towards life events, and individual adaptability.

[0010] S3: Based on MindSpore, we design a corresponding weak classifier for each MBTI question. The weak classifier is used to identify the characteristics contained in the user's answers to questions in a specific dimension and classify the personality attributes of the corresponding dimension into corresponding categories based on the tendency of each characteristic.

[0011] S4: Obtain the user's authorization and use information extraction tools to capture the user's browsing history and interactive content on the specified social platform.

[0012] S5: MindSpore's natural language processing function matches the captured information with the keywords in the question bank, and then automatically generates answers to several questions after successful matching based on the user's browsing history and interactive content on the designated social platform.

[0013] S6: Use the AI ​​dialogue tool designed based on MindSpore to organize the remaining unmatched questions into a continuous dialogue task according to the user's interests and hobbies, and interact with the user to collect answers to the remaining questions.

[0014] S7: Input the answers to each question automatically generated and interactively collected into the specified weak classifier, and perform weighted fusion on the outputs of each weak classifier to determine the type of the user in each dimension, and generate the user's personality type assessment report based on the evaluation results of the four dimensions.

[0015] As a further improvement of the present invention, in step S1, the MBTI standard question bank includes 21 questions related to the extraversion or introversion dimension, 26 questions related to the sensing or intuition dimension, 24 questions related to the thinking or feeling dimension, and 22 questions related to the judging or perceiving dimension.

[0016] As a further improvement of the present invention, in step S2, the characteristics of social frequency refer to the frequency and duration of an individual's participation in social activities; the characteristics of social breadth refer to the groups of people an individual tends to socialize with and the number of people involved in social activities; and the characteristics of psychological resources required for social interaction refer to the psychological energy an individual uses in social activities.

[0017] As a further improvement of the present invention, in step S2, the characteristics of information processing means refer to whether the individual tends to adopt superficial senses to obtain information when facing information, or to perceive it at a deep subconscious level, and whether the individual processing is based on practical experience or theoretical concepts; the characteristics of attention placement refer to whether the individual tends to focus on current real problems, or on the overall situation and future possibilities.

[0018] As a further improvement of the present invention, in step S2, the characteristics of individual value orientation refer to whether the individual is more inclined to objective standards or subjective emotions; the characteristics of individual decision-making basis refer to whether the individual tends to make decisions based on logic or personal values ​​and emotions; the characteristics of problem-solving orientation refer to whether the individual tends to adopt systematic analysis and solutions or interpersonal relationships when solving problems.

[0019] As a further improvement of the present invention, in step S2, the characteristics of life behavior are used to distinguish whether the individual tends to have a planned and organized lifestyle or a flexible and adaptable lifestyle; the characteristics of life event attitudes are used to evaluate whether the individual tends to plan in advance or to improvise when faced with event arrangements; and the characteristics of individual adaptability are intended to identify whether the individual tends to follow traditional paths or is more willing to explore new possibilities when faced with new situations.

[0020] As a further improvement of the present invention, in step S3, the corresponding problem is split into multiple atomic problems according to the multiple features involved in each problem, and then a classifier is designed for each atomic problem.

[0021] As a further improvement of the present invention, in step S7, the option results under each weak classifier are classified, and the contribution of the factors of each problem under the four dimensions is obtained through factor analysis, which is converted into a weight ratio; in the two opposing states of a single dimension, the number of factors of the option is multiplied by the weight ratio, and the larger product result is used as the classification result of the current dimension.

[0022] The present invention also includes a MindSpore-based MBTI intelligent questionnaire system, which uses the aforementioned MindSpore-based MBTI intelligent questionnaire method to analyze a user's personality type. This MBTI intelligent questionnaire system includes a database, a signal acquisition crawler, an intelligent dialogue module, a classification module, and an evaluation module.

[0023] The database is used to classify and store the characteristic information corresponding to each question in the MBTI standard question bank.

[0024] The signal acquisition crawler is used to capture the user's browsing history and interactive content on the specified social platform after the user's authorization, and then match the captured information with the keywords of the question bank; finally, key information is extracted from the user's browsing history and interactive content on the specified social platform and stored in the corresponding table in the database.

[0025] The intelligent dialogue module is designed based on a large language model and is used to call AI dialogue tools to generate dialogue tasks with users for items in the database that the signal acquisition crawler has failed to fill in. It then automatically generates feature information for the corresponding questions based on the interactive content during the dialogue with the user.

[0026] The classification module contains multiple classifiers corresponding to each question in the MBTI standard question bank; each classifier outputs the classification result of the question based on the feature information of the corresponding question in the database.

[0027] The evaluation module is used to calculate the classification results of each dimension based on the classification results of each question under the four dimensions and the preset weights, and generate a personality analysis report for the corresponding user.

[0028] The present invention also includes a personality analysis device comprising a memory, a processor, and a computer program stored in the memory and executed by the processor. When the computer program is executed by the processor, the aforementioned MindSpore-based MBTI intelligent questionnaire method is used to analyze a user's personality type and generate a corresponding personality analysis report.

[0029] The technical solution provided by the present invention has the following beneficial effects:

[0030] This invention uses the MBTI scale to analyze a user's personality type. To collect the user's responses to each question in the MBTI, the invention first captures the user's historical online behavior data. Then, using a large language model, it analyzes this data to determine the answers to some of the MBTI questions. It then organizes topics based on the remaining questions and the user's interests. Using an AI conversation tool, it engages in a continuous conversation with the user, learning their answers to the remaining questions. Finally, based on the characteristic information corresponding to all the collected answers, the invention classifies the user's personality type.

[0031] The solution of the present invention changes the original information collection method based on questionnaires, and instead uses artificial intelligence technology to automatically fill in answers to questions and obtain information through more relaxed AI dialogue. This method can overcome the shortcomings of existing solutions that are easily affected by social desirability and fatigue effects, obtain more accurate user information, and improve the reliability of evaluation results.

[0032] The present invention does not need to store the user's direct answer to each question during the user personality analysis, which can reduce the risk of privacy leakage of the user during the personality analysis process and has stronger data security performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a flowchart of the steps of the MindSpore-based MBTI intelligent questionnaire method provided in Example 1 of the present invention.

[0034] Figure 2 This is a system architecture diagram of the MindSpore-based MBTI intelligent questionnaire system provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0036] Example 1

[0037] The social desirability effect indicates that users are motivated to choose favorable answers when answering questions in the MBTI. The fatigue effect indicates that users are affected by fatigue and emotions when answering numerous questions in the MBTI. Therefore, whether from a subjective or objective perspective, the MBTI characteristics of users obtained through questionnaires may deviate from their actual situation.

[0038] With the deepening of deep learning frameworks and their increasing maturity, more and more natural language processing tasks can be effectively performed. For example, the deep learning framework MindSpore covers all scenarios across cloud, edge, and device, providing high-performance models and automatic parallelization capabilities. It also supports the customization and adjustment of data augmentation operations during data processing, and uses federated learning capabilities to facilitate the coordinated training of large models, achieving "available but invisible" data and protecting privacy information.

[0039] Based on MindSpore, this embodiment uses the complete version of the MBTI scale (93 questions) as a foundation and utilizes MindSpore to collect characteristic information corresponding to each question in the MBTI scale. This method avoids traditional questionnaires when collecting information, effectively avoiding the social desirability and fatigue effects in psychological assessments. This improves the authenticity and immediacy of MBTI psychological assessments, ensures the integrity of information collection, and enhances the reliability of the final assessment results.

[0040] Specifically, if Figure 1 As shown, the MBTI intelligent questionnaire method based on MindSpore provided in this embodiment includes the following steps:

[0041] S1: The 93 questions in the MBTI standard question bank are divided into four dimensions according to Extraversion E and Introversion I, Sensing S and Intuition N, Thinking T and Feeling F, Judging J and Perceiving P.

[0042] In the standard MBTI question bank, there are 21 questions related to the extraversion or introversion dimension, namely questions 3, 7, 10, 13, 16, 19, 23, 26, 32, 38, 42, 57, 62, 68, 74, 77, 79, 81, 83, 85, and 91.

[0043] There are 26 questions related to the sensing or intuition dimension; they are questions 2, 5, 9, 11, 18, 22, 25, 27, 30, 34, 39, 44, 46, 48, 50, 52, 54, 60, 63, 65, 67, 69, 71, 73, 82, and 92.

[0044] There are 24 questions related to the thinking or feeling dimension, namely questions 6, 15, 21, 29, 31, 33, 35, 37, 40, 43, 45, 47, 49, 51, 53, 56, 58, 61, 66, 70, 72, 75, 87, and 89.

[0045] There are 22 questions related to the judgment or perception dimension, namely questions 1, 4, 8, 12, 14, 17, 20, 24, 28, 36, 41, 55, 59, 64, 76, 78, 80, 84, 86, 88, 90, and 93.

[0046] S2: Based on the user's decision-making tendency, determine a variety of characteristic information used to evaluate the user's personality attributes in four dimensions. Among them,

[0047] (1) The characteristics of assessing extroversion and introversion include: frequency of social interaction, breadth of social interaction, and psychological resources required for social interaction.

[0048] In this embodiment, the characteristics of social frequency refer to the frequency and duration of an individual's participation in social activities. The characteristics of social breadth refer to the groups of people an individual tends to socialize with and the number of people they socialize with. The characteristics of psychological resources required for social interaction refer to the psychological energy an individual uses in social activities.

[0049] (2) The characteristics of evaluating perception and intuition include: information processing methods and attention placement.

[0050] In this example, the characteristics of information processing refer to whether an individual tends to use superficial sensory input or deep subconscious perception when presented with information, and whether the individual's processing is based on practical experience or theoretical concepts. The characteristics of attention placement refer to whether an individual tends to focus on current practical issues or on the overall situation and future possibilities.

[0051] (3) The characteristics of evaluation thinking and emotion include: individual value orientation, individual decision-making basis, and problem-solving orientation.

[0052] In this embodiment, the characteristics of individual value orientation refer to whether the individual is more inclined to objective standards or subjective emotions; the characteristics of individual decision-making basis refer to whether the individual tends to rely on logic or personal values ​​and emotions when making decisions; and the characteristics of problem-solving orientation refer to whether the individual tends to adopt systematic analysis and solutions or interpersonal relationships when solving problems.

[0053] (4) Characteristics of evaluation, judgment, and perception include: lifestyle behavior, attitude toward life events, and individual adaptability.

[0054] In this embodiment, the characteristics of life behavior are used to distinguish whether an individual tends to have a planned and organized lifestyle or a flexible and adaptable lifestyle; the characteristics of life event attitudes are used to assess whether an individual tends to plan in advance or improvise when faced with event arrangements; and the characteristics of individual adaptability are intended to identify whether an individual tends to follow traditional paths or is more willing to explore new possibilities when faced with new situations.

[0055] S3: Based on MindSpore, we design a corresponding weak classifier for each MBTI question. The weak classifier is used to identify the characteristics contained in the user's answers to questions in a specific dimension and classify the personality attributes of the corresponding dimension into corresponding categories based on the tendency of each characteristic.

[0056] In this example, natural language processing (NLP) technology is used to break down the four dimensions into multiple atomic questions based on their respective measurement methods. A classifier is then designed for each atomic question to improve the accuracy of the psychological assessment. In this example, the different options under the weak classifier provide different perspectives, offering more options for understanding and answering the original question, thereby reducing ambiguity and more accurately capturing individuals' specific behaviors in social situations.

[0057] S4: Obtain the user's authorization and use information extraction tools to capture the user's browsing history and interactive content on the specified social platform.

[0058] S5: MindSpore's natural language processing function matches the captured information with the keywords in the question bank, and then automatically generates answers to several questions after successful matching based on the user's browsing history and interactive content on the designated social platform.

[0059] In this embodiment, instead of directly obtaining the user's answers to each question in the MBTI psychological scale through questionnaires, the user's answers to different questions on each dimension are obtained indirectly through active analysis and dialogue communication. Specifically,

[0060] "Active analysis" refers to leveraging a user's historical social network data to analyze their responses. The content and browsing data users post on social networks are typically generated autonomously based on their own will, making this data more authentic. From a personality analysis perspective, this historical data is unaffected by social media desirability and, therefore, more closely reflects the user's true state of mind. In practical applications, with user authorization, historical social network data can be captured and key information extracted to determine the user's true responses to certain questions in the MBTI questionnaire.

[0061] S6: Use the AI ​​dialogue tool designed based on MindSpore to organize the remaining unmatched questions into a continuous dialogue task according to the user's interests and hobbies, and interact with the user to collect answers to the remaining questions.

[0062] In most cases, even obtaining all of a user's social network posts or browsing history is insufficient to determine their answers to all questions on the MBTI scale. Therefore, this embodiment determines the user's interests and hobbies based on the acquired social data. Then, with the goal of obtaining the user's answers to the remaining questions on the MBTI scale, it organizes corresponding conversation tasks and selects topics based on the user's preferences. Finally, during the conversation with the user, the user's answers to the remaining questions on the MBTI scale are determined.

[0063] In this embodiment, the AI ​​dialogue tool used constructs a psychological topic map using the MindSpore framework. Leveraging the concepts and technologies of heterogeneous information networks, this tool expands the questions in the questionnaire and extracts relevant topics, thereby improving the accuracy and efficiency of automated responses during the intelligent questionnaire assessment process. Through interactive communication and command settings, the language model behind the AI ​​dialogue tool can learn vocabulary related to scale dimensions such as emotions, attitudes, and behaviors, providing a rich knowledge base for map construction. Furthermore, this process enables a deep understanding of individual psychological characteristics and the intelligent extraction and analysis of psychological dimensions.

[0064] In this embodiment, the AI-powered "dialogue" not only obtains user responses to selected questions, similar to a questionnaire survey, but also eliminates the influence of social desirability effects, as users are unaware that the process is intended to analyze their personality type. Furthermore, because the dialogue process in this embodiment is tailored to the user's interests and hobbies, it typically does not cause user fatigue or resistance, resulting in more reliable answers than direct questionnaire surveys.

[0065] S7: Input the answers to each question automatically generated and interactively collected into the specified weak classifier, and perform weighted fusion on the outputs of each weak classifier to determine the type of the user in each dimension, and generate the user's personality type assessment report based on the evaluation results of the four dimensions.

[0066] The options under each weak classifier are classified, and factor analysis is used to determine the contribution of factors to each question in the four dimensions, which are then converted into weighted percentages. For two opposing states in a single dimension, the number of factors in the options is multiplied by the weighted percentage, and the larger product is used as the classification result for the current dimension. For example, under the dimension of E (extraversion) - I (introversion), assuming that type E scores 11.35 and type I scores 9.65, the user's personality classification result under this dimension is E (extraversion). In this real case, assuming that the user achieves the same score on two opposing types, further analysis can be performed based on the extensive feature information obtained to determine the most likely outcome. Each weak classifier is integrated to obtain the individual's MBTI type, and detailed tendencies under each dimension are given.

[0067] Example 2

[0068] Building on the solution in Example 1, this embodiment further provides a MindSpore-based MBTI intelligent questionnaire system. This system employs the MindSpore-based MBTI intelligent questionnaire method described in Example 1 to analyze a user's personality type. A key feature of this MBTI intelligent questionnaire system is that it leverages artificial intelligence to collect users' responses to each question in the MBTI questionnaire, without directly administering a questionnaire to the user, and then analyzes their personality type. These new intelligent questionnaire methods help overcome the vulnerability of traditional methods to social desirability and fatigue, resulting in less reliable personality analysis results.

[0069] like Figure 2 As shown, the MBTI intelligent questionnaire system based on MindSpore provided in this embodiment includes: a database, a signal acquisition crawler, an intelligent dialogue module, a classification module and an evaluation module.

[0070] The database is used to categorize and store the characteristic information corresponding to each question in the MBTI standard question bank. Specifically, for the full MBTI scale, the database in this embodiment includes 93 storage partitions, each of which stores all characteristic information for a question of the current user.

[0071] The signal acquisition crawler is used to capture the user's browsing history and interactive content on the specified social platform after the user's authorization, and then match the captured information with the keywords of the question bank; finally, key information is extracted from the user's browsing history and interactive content on the specified social platform and stored in the corresponding table in the database.

[0072] In this embodiment, the signal acquisition crawler includes an information extraction unit and an information analysis unit. The information extraction unit can be implemented by invoking various existing data capture tools. The information analysis unit is obtained by training a large language model. In practical applications, a large amount of feature information related to psychological analysis is pre-collected. This data is then used to construct a knowledge graph, and the attention network is trained using the knowledge graph to obtain a large model capable of understanding semantic information. This embodiment uses the trained large model to calculate the similarity between user network behavior information and the topic graph, enabling the transition from psychological dimensions to intelligent semantic extraction and the intelligent completion of questionnaires.

[0073] The intelligent dialogue module is used to call the AI ​​dialogue tool to generate dialogue tasks with users for items in the database that the signal acquisition crawler failed to fill; then it automatically generates feature information for the corresponding questions based on the interactive content during the dialogue with the user.

[0074] In this embodiment, the intelligent dialogue module proactively "inquires" about any remaining uncompleted questions after the signal acquisition crawler intelligently completes the questionnaire based on the user's online behavior. Unlike questionnaires, this embodiment utilizes artificial intelligence to facilitate a continuous dialogue with the user. Regarding the "rigid" questions in the MBTI scale, this embodiment integrates each question into specific areas of interest to the user. Through discussion and interaction with the user, it cleverly captures the user's response to each question and extracts the characteristic information provided by the user in answering the question.

[0075] The classification module contains multiple classifiers corresponding to each question in the MBTI standard question bank. Each classifier outputs a classification result for that question based on the characteristic information of the corresponding question in the database. Each classifier uses a similarity algorithm to calculate the similarity between the characteristic information provided by the user and the keywords of different personality classification results based on the preset keywords in the scale, and then generates a classification result for the corresponding question.

[0076] The evaluation module is used to calculate the classification results of the current user in each dimension based on the classification results of each question under the four dimensions and the preset weights, and generate a personality analysis report for the corresponding user.

[0077] Example 3

[0078] Based on Examples 1 and 2, this embodiment further provides a personality analysis device, comprising a memory, a processor, and a computer program stored in the memory and executed by the processor. When the processor executes the computer program, it uses the aforementioned MindSpore-based MBTI intelligent questionnaire method to analyze a user's personality type and generate a corresponding personality analysis report.

[0079] The personality analysis device provided in this embodiment is essentially a computer device used to implement the solution in Example 1. The computer device can be a program-executing smart terminal, tablet computer, laptop computer, desktop computer, rack server, blade server, tower server, or cabinet server (including a standalone server or a server cluster consisting of multiple servers).

[0080] The computer device described in this embodiment includes at least, but is not limited to, a memory and a processor that can be interconnected via a system bus. The memory (i.e., a readable storage medium) includes flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic storage, a magnetic disk, an optical disk, and the like. In some embodiments, the memory can be an internal storage unit of the computer device, such as the hard disk or internal memory of the computer device. In other embodiments, the memory can also be an external storage device of the computer device, such as a plug-in hard disk equipped with the computer device, a smart media card (SMC), a secure digital (SD) card, a flash memory card, and the like. Of course, the memory can also include both the internal storage unit of the computer device and its external storage devices. In this embodiment, the memory is generally used to store the operating system and various application software installed on the computer device. In addition, the memory can also be used to temporarily store various types of data that have been output or are about to be output.

[0081] In some embodiments, the processor may be a central processing unit (CPU), a graphics processing unit (GPU), a controller, a microcontroller, a microprocessor, or other data processing chip. The processor is generally used to control the overall operation of the computer device. In this embodiment, the processor is used to run program code stored in the memory or process data.

[0082] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the patent for this invention shall be determined by the appended claims.

Claims

1. A MBTI intelligent questionnaire method based on MindSpore, characterized by: It includes the following steps: S1: The 93 questions in the MBTI standard question bank are divided into four dimensions according to Extraversion E and Introversion I, Sensing S and Intuition N, Thinking T and Feeling F, Judging J and Perceiving P; S2: Based on the user's decision-making tendency, determine a variety of characteristic information used to evaluate the user's personality attributes in four dimensions; among them, (1) The characteristics of extraversion and introversion include: frequency of social interaction, breadth of social interaction, and psychological resources required for social interaction; (2) The characteristics of perception and intuition include: information processing methods and attention placement; (3) Characteristics of assessment thinking and emotion include: individual value orientation, individual decision-making basis, and problem-solving orientation; (4) Characteristics of evaluation, judgment, and perception include: lifestyle, attitudes toward life events, and individual adaptability; S3: Based on MindSpore, a corresponding weak classifier is designed for each MBTI question. The weak classifier is used to identify the various features contained in the answers provided by users in the specified dimension and classify the personality attributes of the corresponding dimension into corresponding categories based on the tendency of each feature; Based on the multiple features involved in each problem, the corresponding problem is split into multiple atomic problems, and then a classifier is designed for each atomic problem; S4: Obtain the user's authorization and use information extraction tools to capture the user's browsing history and interactive content on the specified social platform; S5: MindSpore's natural language processing function matches the captured information with keywords in the question bank. Then, based on the user's browsing history and interactive content on the designated social platform, it automatically generates answers to several questions after successful matching. S6: Using the AI ​​conversation tool designed based on MindSpore, the remaining unmatched questions are organized into a continuous conversation task based on the user's interests and hobbies. The tool then interacts with the user to collect answers to the remaining questions. S7: Input the answers to each question automatically generated and interactively collected into the designated weak classifier, and perform weighted fusion on the outputs of each weak classifier to determine the user's type in each dimension, and generate a personality type assessment report for the user based on the assessment results of the four dimensions; Classify the option results under each weak classifier, obtain the contribution of the factors of each problem under the four dimensions through factor analysis, and convert it into weight ratio; in the two opposing states of a single dimension, multiply the number of factors of the option by the weight ratio, and take the larger product as the classification result of the current dimension.

2. The MindSpore-based MBTI intelligent questionnaire method according to claim 1, characterized in that: In step S1, the MBTI standard question bank contains 21 questions related to the extraversion or introversion dimension, 26 questions related to the sensing or intuition dimension, 24 questions related to the thinking or feeling dimension, and 22 questions related to the judging or perceiving dimension.

3. The MBTI intelligent questionnaire method based on MindSpore according to claim 1, characterized in that: In step S2, the characteristics of social frequency refer to the frequency and duration of an individual's participation in social activities; the characteristics of social breadth refer to the groups of people an individual tends to socialize with and the number of people involved; and the characteristics of psychological resources required for social interaction refer to the psychological energy an individual uses in social activities.

4. The MBTI intelligent questionnaire method based on MindSpore according to claim 3, characterized in that: In step S2, the characteristics of information processing methods refer to whether individuals tend to use superficial sensory acquisition or deep subconscious perception when facing information, and whether individual processing is based on practical experience or theoretical concepts; the characteristics of attention placement refer to whether individuals tend to focus on current real problems or the overall situation and future possibilities.

5. The MBTI intelligent questionnaire method based on MindSpore according to claim 4, characterized in that: In step S2, the characteristics of individual value orientation refer to whether the individual is more inclined to objective standards or subjective emotions; the characteristics of individual decision-making basis refer to whether the individual tends to make decisions based on logic or personal values ​​and emotions; the characteristics of problem-solving orientation refer to whether the individual tends to adopt systematic analysis and solutions or interpersonal relationships when solving problems.

6. The MBTI intelligent questionnaire method based on MindSpore according to claim 5, characterized in that: In step S2, the characteristics of the lifestyle are used to distinguish whether the individual tends to have a planned and organized lifestyle or a flexible and adaptable lifestyle; the characteristics of the attitude towards life events are used to assess whether the individual tends to plan in advance or to improvise when faced with event arrangements; the characteristics of individual adaptability are intended to identify whether the individual tends to follow traditional paths or is more willing to explore new possibilities when faced with new situations.

7. A MindSpore-based MBTI intelligent questionnaire system, characterized by: The method adopts the MBTI intelligent questionnaire method based on MindSpore as described in any one of claims 1 to 6 to analyze the personality type of the user; the method includes: A database that is used to classify and store the characteristic information corresponding to each question in the MBTI standard question bank; A signal acquisition crawler is used to crawl the user's browsing history and interactive content on the designated M social platform after the user's authorization, then match the crawled information with the keywords in the question bank, and finally extract key information from the user's browsing history and interactive content on the designated social platform and store it in the corresponding table in the database; The intelligent dialogue module is designed based on a large language model and is used to obtain items in the database that the crawler failed to populate based on the signal, call the AI ​​dialogue tool to generate a dialogue task with the user, and then automatically generate feature information corresponding to the question based on the interactive content during the dialogue with the user; The classification module contains multiple classifiers corresponding to each question in the MBTI standard question bank. Each classifier outputs the classification result of the question based on the feature information of the corresponding question in the database. The evaluation module is used to calculate the classification results of each dimension based on the classification results of each question under the four dimensions and their preset weights, and generate a personality analysis report for the corresponding user.

8. A personality analysis device comprising a memory, a processor, and a computer program stored in the memory and executed in the processor, characterized in that: When the processor executes the computer program, the MBTI intelligent questionnaire method based on MindSpore as described in any one of claims 1 to 6 is used to analyze the user's personality type and generate a corresponding personality analysis report.

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