Psychological education system and method based on remote digital information

Abstract

The embodiment of the invention provides a psychological education system and method based on remote digital information, and relates to the field of remote psychological education. The system comprises an information collection module used for obtaining user information input by a user, the user information being information input by the user for replying a preset psychological education questionnaire; the semantic recognition module is used for performing semantic recognition on the user information to obtain first semantic information; the strategy determination module is used for determining a psychological education strategy based on the first semantic information and acquiring voice broadcast text information and voice broadcast sound information according to the psychological education strategy; the combination module is used for combining the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file; and the voice broadcast module is used for carrying out voice broadcast according to the psychological education voice file so as to realize psychological education. According to the method and the device, the problem of low customization degree of psychological education is solved, and the effect of improving the personalized customization degree is achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of remote psychological education, and in particular, to a remote digital information psychological education system and method. Background Art

[0002] With the advent of the digital age, mental health issues have gradually received widespread attention from all walks of life. As an emerging educational model, distance psychological education has shown its importance because it can break through geographical limitations and provide psychological support and education to people in different regions and with different needs.

[0003] In the existing technology, there are still some problems that need to be solved in the remote psychological education system, such as the lack of the function of customizing personalized education strategies according to the user's specific psychological state, which leads to the failure to optimize the education effect.

[0004] There is currently no better solution to the above problems. Summary of the invention

[0005] The embodiment of the present invention provides a remote digital information psychological education system and method, so as to at least solve the problem of low personalized education ability in the related art.

[0006] According to one embodiment of the present invention, there is provided a remote digital information psychological education system, comprising:

[0007] An information collection module is used to obtain user information input by a user, wherein the user information is information input by the user in replying to a preset psychological education questionnaire;

[0008] A semantic recognition module, used for performing semantic recognition on the user information to obtain first semantic information;

[0009] A strategy determination module, used to determine a psychological education strategy based on the first semantic information, and obtain voice broadcast text information and voice broadcast sound information according to the psychological education strategy;

[0010] A combination module, used for combining the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file;

[0011] The voice broadcast module is used to perform voice broadcast according to the psychological education voice file to achieve psychological education.

[0012] In an exemplary embodiment, performing semantic recognition on the user information to obtain first semantic information includes:

[0013] Performing vocabulary recognition on the user information to obtain the vocabulary quantity, vocabulary position information of a first vocabulary, and a vocabulary-based sentiment tendency score of the first vocabulary, wherein the first vocabulary is any vocabulary in the user information, and the vocabulary-based sentiment tendency score corresponds to the first vocabulary one by one;

[0014] According to the number of words, the word positions, and the word-based sentiment tendency scores, a target sentiment tendency score of the first word in the user information is determined by a first formula, wherein the first semantic information includes the target sentiment tendency score, and the first formula includes:

[0015]

[0016] Wherein, C is the target sentiment tendency score; c' is the preset sentiment tendency adjustment factor, s is the vocabulary-based sentiment tendency score, p(i) is the position of the first vocabulary in the user information, p(m) is the position of the vocabulary in the middle position in the user information, N is the total number of vocabulary in the user information, is the average value of the total number of words in historical user information.

[0017] In an exemplary embodiment, determining the psychological education strategy based on the first semantic information includes:

[0018] Determining a sentiment tendency score of the user information based on the target sentiment tendency score of the first vocabulary;

[0019] When the emotion tendency score is less than the first threshold, the psychological education strategy is determined to be the first strategy, otherwise it is determined to be the second strategy.

[0020] In an exemplary embodiment, the system further comprises:

[0021] A vocabulary detection module, configured to construct a vocabulary detection matrix based on the vocabulary quantity and vocabulary position after semantic recognition is performed on the user information to obtain the first semantic information;

[0022] A calculation module, used for performing a correlation detection calculation on the vocabulary detection matrix to obtain a correlation value;

[0023] The abnormality judgment module is used to determine that the first semantic information is abnormal when the correlation value does not meet the preset threshold condition.

[0024] In an exemplary embodiment, the system further comprises:

[0025] A video information acquisition module, used for obtaining user facial image information and sound information before determining the psychological education strategy based on the first semantic information, wherein the user facial information and sound information are obtained by performing remote video operation on the user;

[0026] An information analysis module, configured to perform image recognition analysis on the user's facial information to obtain image information, and perform voiceprint analysis on the sound information to obtain voiceprint information, wherein the image information includes eye movement information and expression change information;

[0027] The second strategy determination module is used to determine the psychological education strategy based on the image information, the voiceprint information and the first semantic information.

[0028] According to another embodiment of the present invention, there is provided a remote digital information psychological education method, comprising:

[0029] Acquiring user information input by a user, wherein the user information is information input by the user in replying to a preset psychological education questionnaire;

[0030] Performing semantic recognition on the user information to obtain first semantic information;

[0031] Determining a psychological education strategy based on the first semantic information, and acquiring voice broadcast text information and voice broadcast sound information according to the psychological education strategy;

[0032] Combining the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file;

[0033] Voice broadcast is performed according to the psychological education voice file to achieve psychological education.

[0034] In an exemplary embodiment, performing semantic recognition on the user information to obtain first semantic information includes:

[0035] Performing vocabulary recognition on the user information to obtain the vocabulary quantity, vocabulary position information of a first vocabulary, and a vocabulary-based sentiment tendency score of the first vocabulary, wherein the first vocabulary is any vocabulary in the user information, and the vocabulary-based sentiment tendency score corresponds to the first vocabulary one by one;

[0036] According to the number of words, the word positions, and the word-based sentiment tendency scores, a target sentiment tendency score of the first word in the user information is determined by a first formula, wherein the first semantic information includes the target sentiment tendency score, and the first formula includes:

[0037]

[0038] In the formula, C is the target sentiment tendency score; c' is the preset sentiment tendency adjustment factor, s is the vocabulary-based sentiment tendency score, p(i) is the position of the first vocabulary in the user information, p(m) is the position of the vocabulary in the middle position in the user information, N is the total number of vocabulary in the user information, and N is the average value of the total number of vocabulary in the historical user information.

[0039] In an exemplary embodiment, determining the psychological education strategy based on the first semantic information includes:

[0040] Determining a sentiment tendency score of the user information based on the target sentiment tendency score of the first vocabulary;

[0041] When the emotion tendency score is less than the first threshold, the psychological education strategy is determined to be the first strategy, otherwise it is determined to be the second strategy.

[0042] According to yet another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the steps of any one of the above method embodiments when run.

[0043] According to yet another embodiment of the present invention, there is provided an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0044] Through the present invention, since the semantic information input by the user is deeply analyzed and the emotional tendency of the semantics is determined, the educational strategy is determined accordingly. Therefore, the problem of insufficient customization of psychological education can be solved, and the effect of improving the degree of customization can be achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a structural block diagram of a remote digital information psychological education system according to an embodiment of the present invention;

[0046] Figure 2 4 is a flow chart of a remote digital information psychological education method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0048] In the following, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0049] In addition, in the present application, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to the change in the orientation of the components in the drawings.

[0050] In this application, unless otherwise specified or limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium. In addition, the term "coupling" can be a way of achieving electrical connection for signal transmission.

[0051] As used herein, "about," "substantially," or "approximately" includes the stated value and an average value that is within an acceptable range of variation from the particular value as determined by one of ordinary skill in the art taking into account the measurements in question and the errors associated with the measurement of the particular quantity (i.e., the limitations of the measurement system).

[0052] In the present embodiment, a remote digital information psychological education system is also provided, which is used to implement the above-mentioned embodiment and preferred implementation mode, and the descriptions thereof will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and contemplated.

[0053] Figure 1 is a block diagram of a remote digital information psychological education system according to an embodiment of the present invention. Figure 1 As shown, the system includes:

[0054] The information collection module 11 is used to obtain user information input by the user, wherein the user information is the information input by the user in replying to the preset psychological education questionnaire;

[0055] In this embodiment, users enter their responses via a graphical user interface (GUI). These responses may include text input, selection of options, or filling out of a rating scale.

[0056] Among them, the psychological education questionnaire includes (but is not limited to) standardized psychological assessment scales, open-ended questions and multiple-choice questions; the questionnaire is designed to collect users' basic information, mental health status, living habits and personal feelings, etc.; the information entered by the user is collected by the information collection module and will be converted into a structured data format for subsequent semantic recognition and analysis.

[0057] A semantic recognition module 12, configured to perform semantic recognition on the user information to obtain first semantic information;

[0058] In this embodiment, data preprocessing is required before semantic recognition, which includes text cleaning (removing irrelevant characters and stop words), word segmentation (dividing continuous text into independent words) and part-of-speech tagging (identifying the grammatical attributes of each word.

[0059] Among them, the first semantic information includes (but is not limited to) information such as the number of words, word position information, the position distance between specific words, sentence structure, and the basic sentiment tendency score of each word; the word position information refers to the specific position of the word in the user's reply (generally the specific position is marked as 1, and then the position identification starts from 1), and the basic sentiment tendency score is the sentiment tendency score assigned to each word according to a preset vocabulary dictionary.

[0060] A strategy determination module 13, for determining a psychological education strategy based on the first semantic information, and obtaining voice broadcast text information and voice broadcast sound information according to the psychological education strategy;

[0061] In this embodiment, the determined psychological education strategy includes a positive regulation strategy, a negative regulation strategy or an emotion regulation strategy, a behavior regulation strategy, etc.; because different users have different degrees of acceptance of voice under different psychological states, after determining the psychological education strategy, it is also necessary to determine the corresponding broadcast text and the corresponding voice (for example, a young male voice, a young female voice, a middle-aged male voice, a middle-aged female voice, etc.), and make corresponding combinations to improve the psychological education effect.

[0062] A combination module 14 is used to combine the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file;

[0063] The voice broadcast module 15 is used to perform voice broadcast according to the psychological education voice file to achieve psychological education.

[0064] In this embodiment, the psychological education voice file is a file that can be recognized by the voice broadcasting device. Since different voice broadcasting devices have different formats of playback files, the format needs to be adjusted after the combination.

[0065] In an optional embodiment, performing semantic recognition on the user information to obtain the first semantic information includes:

[0066] Performing vocabulary recognition on the user information to obtain the vocabulary quantity, vocabulary position information of a first vocabulary, and a vocabulary-based sentiment tendency score of the first vocabulary, wherein the first vocabulary is any vocabulary in the user information, and the vocabulary-based sentiment tendency score corresponds to the first vocabulary one by one;

[0067] In this embodiment, the lexical basic sentiment tendency score of the first vocabulary is included in the vocabulary dictionary after statistical scoring and annotation based on historical data. The statistical score can be obtained by scoring and calculating through a neural network (usually a score from positive (positive score), negative (negative score) to neutral (zero score)), and the relevant score needs to be obtained by statistically analyzing the sentiment distribution of various types of vocabulary through big data and repeatedly adjusting it.

[0068] According to the number of words, the word positions, and the word-based sentiment tendency scores, a target sentiment tendency score of the first word in the user information is determined by a first formula, wherein the first semantic information includes the target sentiment tendency score, and the first formula includes:

[0069]

[0070] Wherein, C is the target sentiment tendency score; c' is the preset sentiment tendency adjustment factor, s is the vocabulary-based sentiment tendency score, p(i) is the position of the first vocabulary in the user information, p(m) is the position of the vocabulary in the middle position in the user information, N is the total number of vocabulary in the user information, is the average value of the total number of words in historical user information.

[0071] In an optional embodiment, determining the psychological education strategy based on the first semantic information includes:

[0072] Determining a sentiment tendency score of the user information based on the target sentiment tendency score of the first vocabulary;

[0073] When the emotion tendency score is less than the first threshold, the psychological education strategy is determined to be the first strategy, otherwise it is determined to be the second strategy.

[0074] In this embodiment, the first strategy may be a positive regulation strategy, a negative positive strategy, an emotion regulation strategy or a behavior regulation strategy, and the second strategy may be a relative strategy.

[0075] In an optional embodiment, the system further includes:

[0076] A vocabulary detection module, configured to construct a vocabulary detection matrix based on the vocabulary quantity and vocabulary position after semantic recognition is performed on the user information to obtain the first semantic information;

[0077] A calculation module, used for performing a correlation detection calculation on the vocabulary detection matrix to obtain a correlation value;

[0078] The abnormality judgment module is used to determine that the first semantic information is abnormal when the correlation value does not meet the preset threshold condition.

[0079] In this embodiment, since the questionnaire is pre-set, the lexical position, lexical quantity and even lexical sentiment tendency of the corresponding answer content can be predicted. At this time, if the lexical quantity and lexical position are not related, it may be that the relevant answer sheet is abnormal (for example, the user's mental state is unstable, or the answer is malicious, etc.).

[0080] For example, the correlation value range is 0.4-0.7. If it exceeds this value range, it is judged as semantic information abnormality.

[0081] Among them, the construction method of vocabulary detection matrix, in addition to the number of words and the position of words, can also be based on the frequency of occurrence of words in the document (word frequency) and the rarity of words in the entire corpus (inverse document frequency), the semantic similarity or association between words and words, and the corresponding sentiment tendency.

[0082] In an optional embodiment, the system further includes:

[0083] A video information acquisition module, used for obtaining user facial image information and sound information before determining the psychological education strategy based on the first semantic information, wherein the user facial information and sound information are obtained by performing remote video operation on the user;

[0084] An information analysis module, configured to perform image recognition analysis on the user's facial information to obtain image information, and perform voiceprint analysis on the sound information to obtain voiceprint information, wherein the image information includes eye movement information and expression change information;

[0085] The second strategy determination module is used to determine the psychological education strategy based on the image information, the voiceprint information and the first semantic information.

[0086] In this embodiment, facial expressions and voices are important external manifestations of emotional states. Therefore, by analyzing these non-verbal signals, the user's emotions and psychological states can be more comprehensively understood. Therefore, when determining strategies, a comprehensive psychological judgment can also be made by combining the user's facial image information and voice information.

[0087] Among them, user facial information includes eye movement trajectory, facial muscle changes and other information; voice information includes voiceprint, tone, frequency, intensity, etc.

[0088] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0089] This embodiment also provides a remote digital information psychological education method, Figure 1 is a flow chart of a remote digital information psychological education method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0090] Step S101, obtaining user information input by a user, wherein the user information is information input by the user in replying to a preset psychological education questionnaire;

[0091] Step S102, performing semantic recognition on the user information to obtain first semantic information;

[0092] Step S103, determining a psychological education strategy based on the first semantic information, and acquiring voice broadcast text information and voice broadcast sound information according to the psychological education strategy;

[0093] Step S104, combining the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file;

[0094] Step S105, performing voice broadcasting according to the psychological education voice file to achieve psychological education.

[0095] In an optional embodiment, performing semantic recognition on the user information to obtain the first semantic information includes:

[0096] Performing vocabulary recognition on the user information to obtain the vocabulary quantity, vocabulary position information of a first vocabulary, and a vocabulary-based sentiment tendency score of the first vocabulary, wherein the first vocabulary is any vocabulary in the user information, and the vocabulary-based sentiment tendency score corresponds to the first vocabulary one by one;

[0097] According to the number of words, the word positions, and the word-based sentiment tendency scores, a target sentiment tendency score of the first word in the user information is determined by a first formula, wherein the first semantic information includes the target sentiment tendency score, and the first formula includes:

[0098]

[0099] Wherein, C is the target sentiment tendency score; c' is the preset sentiment tendency adjustment factor, s is the vocabulary-based sentiment tendency score, p(i) is the position of the first vocabulary in the user information, p(m) is the position of the vocabulary in the middle position in the user information, N is the total number of vocabulary in the user information, is the average value of the total number of words in historical user information.

[0100] In an optional embodiment, determining the psychological education strategy based on the first semantic information includes:

[0101] Determining a sentiment tendency score of the user information based on the target sentiment tendency score of the first vocabulary;

[0102] When the emotion tendency score is less than the first threshold, the psychological education strategy is determined to be the first strategy, otherwise it is determined to be the second strategy.

[0103] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0104] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0105] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0106] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0107] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0108] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0109] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0111] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0112] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0113] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A remote digital information psychological education system, characterized in that: include: An information collection module is used to obtain user information input by a user, wherein the user information is information input by the user in replying to a preset psychological education questionnaire; A semantic recognition module, used for performing semantic recognition on the user information to obtain first semantic information; A strategy determination module, used to determine a psychological education strategy based on the first semantic information, and obtain voice broadcast text information and voice broadcast sound information according to the psychological education strategy; A combination module, used for combining the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file; The voice broadcast module is used to perform voice broadcast according to the psychological education voice file to achieve psychological education.

2. The system according to claim 1, characterized in that The performing semantic recognition on the user information to obtain first semantic information includes: Performing vocabulary recognition on the user information to obtain the vocabulary quantity, vocabulary position information of a first vocabulary, and a vocabulary-based sentiment tendency score of the first vocabulary, wherein the first vocabulary is any vocabulary in the user information, and the vocabulary-based sentiment tendency score corresponds to the first vocabulary one by one; According to the number of words, the word positions, and the word-based sentiment tendency scores, a target sentiment tendency score of the first word in the user information is determined by a first formula, wherein the first semantic information includes the target sentiment tendency score, and the first formula includes: Wherein, C is the target sentiment tendency score; c' is the preset sentiment tendency adjustment factor, s is the vocabulary-based sentiment tendency score, p(i) is the position of the first vocabulary in the user information, p(m) is the position of the vocabulary in the middle position in the user information, N is the total number of vocabulary in the user information, is the average value of the total number of words in historical user information.

3. The system according to claim 2, characterized in that Determining the psychological education strategy based on the first semantic information includes: Determining a sentiment tendency score of the user information based on the target sentiment tendency score of the first vocabulary; When the emotion tendency score is less than the first threshold, the psychological education strategy is determined to be the first strategy, otherwise it is determined to be the second strategy.

4. The system according to claim 2, characterized in that The system further comprises: A vocabulary detection module, configured to construct a vocabulary detection matrix based on the vocabulary quantity and vocabulary position after semantic recognition is performed on the user information to obtain the first semantic information; A calculation module, used for performing a correlation detection calculation on the vocabulary detection matrix to obtain a correlation value; The abnormality judgment module is used to determine that the first semantic information is abnormal when the correlation value does not meet the preset threshold condition.

5. The system according to claim 1, characterized in that The system further comprises: A video information acquisition module, used for obtaining user facial image information and sound information before determining the psychological education strategy based on the first semantic information, wherein the user facial information and sound information are obtained by performing remote video operation on the user; An information analysis module, configured to perform image recognition analysis on the user's facial information to obtain image information, and perform voiceprint analysis on the sound information to obtain voiceprint information, wherein the image information includes eye movement information and expression change information; The second strategy determination module is used to determine the psychological education strategy based on the image information, the voiceprint information and the first semantic information.

6. A remote digital information psychological education method, characterized in that: include: Acquiring user information input by a user, wherein the user information is information input by the user in replying to a preset psychological education questionnaire; Performing semantic recognition on the user information to obtain first semantic information; Determining a psychological education strategy based on the first semantic information, and acquiring voice broadcast text information and voice broadcast sound information according to the psychological education strategy; Combining the voice broadcast text information and the voice broadcast sound information to determine a psychological education voice file; Voice broadcast is performed according to the psychological education voice file to achieve psychological education.

7. The method according to claim 6, characterized in that The performing semantic recognition on the user information to obtain first semantic information includes: Performing vocabulary recognition on the user information to obtain the vocabulary quantity, vocabulary position information of a first vocabulary, and a vocabulary-based sentiment tendency score of the first vocabulary, wherein the first vocabulary is any vocabulary in the user information, and the vocabulary-based sentiment tendency score corresponds to the first vocabulary one by one; According to the number of words, the word positions, and the word-based sentiment tendency scores, a target sentiment tendency score of the first word in the user information is determined by a first formula, wherein the first semantic information includes the target sentiment tendency score, and the first formula includes: Wherein, C is the target sentiment tendency score; c' is the preset sentiment tendency adjustment factor, s is the vocabulary-based sentiment tendency score, p(i) is the position of the first vocabulary in the user information, p(m) is the position of the vocabulary in the middle position in the user information, N is the total number of vocabulary in the user information, is the average value of the total number of words in historical user information.

8. The method according to claim 7, characterized in that Determining the psychological education strategy based on the first semantic information includes: Determining a sentiment tendency score of the user information based on the target sentiment tendency score of the first vocabulary; When the emotion tendency score is less than the first threshold, the psychological education strategy is determined to be the first strategy, otherwise it is determined to be the second strategy.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 6 to 8 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 6 to 8.

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