CN111898923A - Information analysis method - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The embodiment of the invention relates to an information analysis method, which comprises the following steps: the processor extracts a corresponding detection information list, detection information and corresponding detection standard information from the information base according to the processing start instruction; the user terminal displays the detection information according to the detection information list and receives the graphic generation information, the digital voice information and the character voice information; recognizing the digital voice information to generate digital generation information; recognizing the character voice information to generate character generating information; comparing the graph generation information with the graph standard information, and inquiring corresponding graph matching degree information; comparing the digital generation information with the digital standard information to generate digital matching degree information; comparing the character generation information with the character standard information to generate character matching degree information; and obtaining analysis result data according to the graph matching degree information, the number matching degree information and the character matching degree information, and outputting the analysis result data.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an information analysis method.
Background
Most of the existing methods for evaluating various types of information still need to manually communicate or manually judge whether questions are answered correctly, which is time-consuming and energy-consuming. In manual work, the value of the information or the meaning represented by the information is determined by people, and the information evaluation mode is unscientific and objective.
In addition, in the conventional information evaluation methods, the value of the information or the meaning represented by the information is generally judged by using a 'one-time-cutting' method, that is, the information is determined by using a 'not-that-other' method, which is also unscientific and not objective.
Disclosure of Invention
The invention aims to provide an information analysis method aiming at the defects of the prior art, wherein the image analysis method is used for identifying and judging figures, the character identification method is used for identifying and judging numbers and characters, the voice identification method is used for identifying and judging voice, and information analysis is carried out on information in various forms, so that the error rate of analysis, analysis and judgment is reduced, and the analysis result is more scientific and objective.
In order to achieve the above object, an embodiment of the present invention provides an information analysis method, including:
the user terminal receives a processing start instruction;
the processor extracts a corresponding detection information list, detection information and corresponding detection standard information from an information base according to the processing start instruction and sends the detection information list, the detection information and the corresponding detection standard information to the user terminal; the detection information includes: the detection standard information comprises graphic standard information, digital standard information and character standard information;
the user terminal displays the detection information according to the detection information list and receives graph generation information, digital voice information and character voice information;
recognizing the digital voice information to generate digital generation information; recognizing the text voice information to generate text generation information;
comparing the graph generation information with the graph standard information to generate matching proportion information, and inquiring corresponding graph matching degree information according to a graph matching degree information standard list;
comparing the digital generation information with the digital standard information to generate digital matching degree information;
comparing the character generation information with the character standard information to generate character matching degree information;
and obtaining analysis result data according to the graph matching degree information, the number matching degree information and the character matching degree information, and outputting the analysis result data.
Preferably:
the graphics processing information includes: first graphics processing information and second graphics processing information;
the graphic standard information includes: first graphic standard information corresponding to the first graphic processing information, and second graphic standard information corresponding to the second graphic processing information;
the graphic generation information includes: first graphics-generating information corresponding to the first graphics-processing information, and second graphics-generating information corresponding to the second graphics-processing information;
the pattern matching degree information includes: first pattern matching degree information corresponding to the first pattern processing information, and second pattern matching degree information corresponding to the second pattern processing information;
the word processing information includes: first and second word processing information;
the text standard information comprises: first word standard information corresponding to the first word processing information, and second word standard information corresponding to the second word processing information;
the character generation information includes: first word generation information corresponding to the first word processing information, and second word generation information corresponding to the second word processing information;
the character matching degree information includes: first word matching degree information corresponding to the first word processing information, and second word matching degree information corresponding to the second word processing information;
the digital standard information comprises a plurality of digital standard characters; the number generation information includes a plurality of number generation characters.
Further preferably, the comparing the digital generated information with the digital standard information to generate digital matching degree information specifically includes:
sequentially comparing each piece of digital generation information with each piece of digital standard character according to the character sequence in each piece of digital generation information and each piece of digital standard character;
and generating the digital matching degree information according to the sequential comparison result.
Further preferably, the comparing the character generation information with the character standard information to generate character matching degree information specifically includes:
respectively inquiring whether first character standard information corresponding to the first character generation information exists in a character information database and whether second character standard information corresponding to the second character generation information exists in the character information database;
the first character generation information comprises one or more first character generation characters; the second character generation information comprises one or more second character generation characters; the first literal standard information comprises a plurality of first literal standard characters; the second text standard information comprises a plurality of second text standard characters;
and obtaining the number of the first character generation characters corresponding to the first character standard characters and the number of the second character generation characters corresponding to the second character standard characters according to the query result, and respectively querying and obtaining the corresponding first character matching degree information and the corresponding second character matching degree information according to a character matching degree information standard list.
Further preferably, before obtaining the number of the first character generation characters corresponding to the first character standard characters and the number of the second character generation characters corresponding to the second character standard characters according to the query result, the method further includes:
and carrying out duplication elimination processing on the first character generation character and the second character generation character to obtain a duplicated first character generation character and a duplicated second character generation character.
Further preferably, the text information database includes: a first text information database corresponding to the first text processing information, and a second text information database corresponding to the second text processing information;
the first character information base is specifically used for inquiring whether first character standard information corresponding to the first character generation information exists or not; the second text information database is specifically used for inquiring whether second text standard information corresponding to the second text generation information exists.
Further preferably, when there is no first character standard information corresponding to the first character generation character in the first character information database, the method further includes:
generating a text information determining instruction, and receiving a feedback instruction of the text information determining instruction;
when the feedback instruction is a first feedback instruction, updating the number of the first character generation characters corresponding to the first character standard characters according to the feedback instruction, and updating the first character matching degree information according to a character matching degree information standard list;
and when the feedback instruction is a first feedback instruction, generating characters according to the current first character and updating the first character information database.
Further preferably, the obtaining of analysis result data according to the pattern matching degree information, the number matching degree information, and the character matching degree information specifically includes:
setting the highest values of the data numerical values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information to be the same;
step 1, extracting the lowest value of the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information as a first comparison value group, comparing with a first threshold value, if the first comparison value group is lower than the first threshold value, generating first final result data, and if the first comparison value group is not lower than the first threshold value, executing step 2;
step 2, extracting the lowest two values of the data values of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first character matching degree information and the second character matching degree information to serve as a second comparison value group, comparing with a second threshold value, if all the values of the second comparison value group are lower than the second threshold value, generating first final result data, and if not, executing the step 3;
and 3, extracting the lowest three numerical values of the data numerical values of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first character matching degree information and the second character matching degree information to serve as a third comparison numerical value group, comparing the lowest three numerical values with a third threshold value, if all numerical values of the third comparison numerical value group are lower than the third threshold value, generating first final result data, and otherwise, generating second final result data.
Further preferably, the obtaining of analysis result data according to the pattern matching degree information, the number matching degree information, and the character matching degree information specifically includes:
determining the number of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information which are lower than the number of preset matching degree information, and obtaining first analysis result data according to the number of the first preset standard matching;
calculating to obtain comprehensive matching degree information according to the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information, and obtaining second analysis result data according to second preset standard matching degree information;
obtaining final analysis result data according to the first analysis result data and the second analysis result data; the final analysis result data further includes the first final result data, the second final result data, and a third final result data.
Further preferably, when the final analysis result data is the third final result data, the method further includes:
the processor extracts corresponding supplementary detection information and corresponding supplementary detection standard information from an information base and sends the supplementary detection information and the supplementary detection standard information to the user terminal;
the user terminal receives the supplementary generation information,
and obtaining supplementary analysis result data according to the supplementary generation information and the supplementary detection standard information, updating final analysis result data according to the supplementary analysis result data, and outputting the final analysis result data.
According to the information analysis method provided by the embodiment of the invention, the image analysis method is used for identifying and judging the figure, the character identification method is used for identifying and judging the number and the characters, the voice identification method is used for identifying and judging the voice, and information analysis is carried out on the information in various forms, so that the error rate of analysis, analysis and judgment is reduced, and the analysis result is more scientific and objective. The information analysis method provided by the embodiment of the invention is convenient for user operation and short in time consumption.
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FIG. 1 is a flow chart of a method of analyzing information according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining analysis result data according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The information analysis method provided by the embodiment of the invention has a method flow chart shown in fig. 1, and comprises the following steps:
specifically, when a user wants to analyze information of a certain item of information, a processing start instruction needs to be input to the user terminal. Here, the information analysis of a certain item of information may be understood as: the information is evaluated to determine the value of the information or the meaning it represents. The user terminal may be understood as an intelligent terminal with data processing function, such as a mobile phone, a computer or a tablet computer.
in particular, the processor may be understood as an apparatus or device having data processing and computing functions other than the user terminal, such as a server. And after the user terminal receives the processing start instruction, the user terminal sends the processing start instruction to the processor. The processor may be connected to the information repository to extract information in the information repository. The information base stores a detection information list, a plurality of detection information and detection standard information corresponding to each detection information.
Here, the detection information list may be understood as a display rule for displaying the detection information, such as a display order of the respective detection information, a display space required for each detection information, and the like. The detected information can be understood as a title required for analyzing the information. The detection standard information can be understood as a standard answer corresponding to the detection information.
More specifically, the detection information includes: the detection standard information includes graphic standard information corresponding to the graphic processing information, digital standard information corresponding to the digital processing information, and character standard information corresponding to the character processing information.
Wherein, the graphic processing information can be understood as: the analysis emphasis includes information for analyzing the type of the graph, which is expressed by the geometry structure of the analysis rule and the whole object portrait. Digitally processing information can be understood as: the analysis focuses on digitally operated information. Word processing information may be understood as: the analysis focuses on the information that is analyzed for the content of the individual words.
specifically, the user terminal displays the detection information according to the detection information list, displays a plurality of detection information corresponding to the processing start instruction to the user, and receives the graphic generation information, the digital voice information, and the text voice information. The graphic generation information, the digital voice information and the text voice information can be directly input into the user terminal by the user or can be the information input by the user, which is acquired by the user terminal from a memory or other external equipment.
The graphic generation information corresponds to the graphic processing information, and may be understood as graphic type information, such as a hand-drawn image. The digital voice information corresponds to the digitally processed information and can be understood as voice type information for expressing the number, for example, the contents of "100, 93, 86, 79, 65" inputted by the user through voice. The text speech information corresponds to the text processing information and can be understood as speech type information for expressing the contents of the individual words, for example, the contents of "football, schoolbag, peony, apple, ship" inputted by the user by speech.
specifically, after the user terminal receives the received graphic generation information, the digital voice information and the text voice information, the received digital voice information and the text voice information need to be recognized and analyzed respectively, and the order of analyzing the digital voice information and the text voice information may be performed sequentially or simultaneously.
More specifically, the user terminal performs voice recognition analysis on the digital voice information to generate digital generation information, and performs voice recognition analysis on the character voice information to generate character generation information. It can be understood that the digital voice information and the text voice information are both data in voice format, and the digital generating information and the text generating information obtained after voice recognition are both data in text format, so that the process of recognizing the digital voice information and the text voice information to generate the digital generating information and the text generating information respectively in this step can also be understood as the process of converting "voice" into "text". And the digit generation information includes a plurality of digit generation characters, each of which represents a complete digit, and the plurality of digit generation characters include character order information for indicating a character order among the plurality of digit generation characters; the word generation information includes a plurality of word generation characters, each of which represents a complete word.
After the user terminal obtains the graphic generation information, the numeric generation information and the character generation information, it is necessary to compare the received graphic generation information, numeric generation information and character generation information with their corresponding standard information, and the comparison sequence may be sequential or simultaneous parallel. That is, the steps 150, 160 and 170 described below may be performed simultaneously or in a preset order.
Step 150, comparing the graph generation information with the graph standard information, and inquiring graph matching degree information;
specifically, there are step 160 and step 170, which are processes for analyzing information with respect to the graphic information and obtaining an analysis result of the graphic information.
The matching degree information includes figure matching degree information, number matching degree information and character matching degree information. The matching degree can be understood as a percentage, and a matching value, i.e. matching degree information, is obtained by drawing lines according to the percentage value. For example, the matching degree information may be expressed as a specific score.
The graphic processing information includes: the first graphic processing information and the second graphic processing information may be understood as information having different analysis emphasis, for example, the first graphic processing information is information for analyzing a regular geometric graphic structure, and the second graphic processing information is information for analyzing an entire representation of an object image. Accordingly, the graphic standard information includes: first graphic standard information corresponding to the first graphic processing information, and second graphic standard information corresponding to the second graphic processing information; the graphic generation information includes: first graphics-generating information corresponding to the first graphics-processing information, and second graphics-generating information corresponding to the second graphics-processing information. The pattern matching degree information includes: first pattern matching degree information corresponding to the first pattern processing information, and second pattern matching degree information corresponding to the second pattern processing information.
In a specific example, the first graphic processing information for analyzing the whole expression of the object picture is "please draw a clock dial here, fill all time, and point out 10 minutes at 11 o' clock with a pointer". The second graphic processing information for analyzing the regular geometric figure structure is "please draw a time (drawing a standard cubic graphic) with the graphic".
Firstly, the user terminal respectively compares the first graph generation information and the second graph generation information with the first graph standard information and the second graph standard information to generate respective matching proportion information. The matching proportion information may be understood as percentage data indicating the similarity between the graphic generation information and the graphic standard information. Then, the user terminal inquires and obtains first graph matching degree information and second graph matching degree information corresponding to each matching proportion information according to the graph matching degree information standard list. The graph matching degree information standard list comprises the corresponding relation between the matching proportion information and the graph matching degree information.
specifically, there are steps 150 and 170, which are processes for analyzing digital information and obtaining the analysis result of the digital information.
The numerical standard information includes a plurality of numerical standard characters each representing a complete number in one numerical standard information, for example, "100" and "93" in "100, 93", instead of a single number such as "1", "0", "9" and "3". And the plurality of numeric standard characters also include character order information for indicating an order between the plurality of numeric standard characters.
The numerical matching degree information may be divided into first numerical matching degree information and second numerical matching degree information based on the analysis result, for example, the first numerical matching degree information represents an analysis result representing "error" and the second numerical matching degree information represents an analysis result representing "correct".
When the user terminal compares the digital generation information with the digital standard information, a method for sequentially comparing each digital generation character with each digital standard character is adopted according to the character sequence information of the digital standard character and the character sequence information of the digital generation character. When one piece of digital generation information is compared with the corresponding digital standard character and is not matched, generating first digital matching degree information; and when any digital generation information is matched with the corresponding digital standard character, generating second digital matching degree information.
This process may be understood as that, the user terminal detects the digit generation character information in the digit generation information from the beginning character of the digit generation information until a digit generation character does not match with its corresponding digit standard character, and generates the first digit matching degree information regardless of whether the digit generation character following the digit generation character is correct or not. And if each digital generation character information in the digital generation information conforms to the corresponding digital standard character, the user terminal generates second digital matching degree information.
specifically, unlike step 150 and step 160, this step is a process of analyzing information for word information and obtaining an analysis result of the word information.
The word processing information includes: the first word processing information and the second word processing information can be understood as information with different information analysis emphasis. The first word processing information may be understood as divergence information having no unique criterion for the analysis and the second word processing information may be understood as information having a unique, fixed criterion for the analysis. In contrast, the text standard information includes: first word standard information corresponding to the first word processing information, and second word standard information corresponding to the second word processing information; the character generation information includes: first word generation information corresponding to the first word processing information, and second word generation information corresponding to the second word processing information. The character matching degree information includes: first word matching degree information corresponding to the first word processing information, and second word matching degree information corresponding to the second word processing information. A first text information database corresponding to the first text processing information, and a second text information database corresponding to the second text processing information.
The user terminal may be connected to a first textual information database and a second textual information database. The first literal information database and the second literal information database store corresponding literal standard information, the literal standard information includes a plurality of literal standard characters, each literal standard character represents a complete word in the literal standard information, such as football and schoolbag in football and schoolbag.
The user terminal performs duplication elimination on the plurality of character generation characters in the first character generation information and the second character generation information, removes repeated words in the character generation characters, and obtains a plurality of first character generation characters corresponding to the first character generation information after duplication elimination and a plurality of second character generation characters corresponding to the second character generation information.
Then, the user terminal inquires whether the first character information database has character standard characters corresponding to the first character generation characters, and obtains the number of the first character generation characters corresponding to the first character standard characters according to the inquiry result. If a first character generation character which is consistent with the first character standard character exists, the number of the first character generation character corresponding to the first character standard character is increased by one. And finally, according to the character matching degree information standard list, inquiring to obtain first character matching degree information corresponding to the number of the first character generation characters and the first character standard characters. And the user terminal inquires whether the second character information database has character standard characters corresponding to each second character generation character, obtains the number of the second character generation characters corresponding to the second character standard characters according to the inquiry result, and inquires the second character matching degree information according to the number of the second character generation characters corresponding to the second character standard characters.
More specifically, since the first word processing message is similar to the divergence message without a unique criterion, the current first word generation message may be one of the criteria, but the criteria is not stored in the first word information database. Therefore, after the first text matching degree information is obtained by the query, step 171 needs to be executed.
Step 171, determining whether to update the first character matching degree information;
specifically, since the current first text generation information may be one of the standards, but the first text standard information corresponding to the standard is not stored in the first text information database, the user terminal cannot directly determine that the current first text generation information "does not meet the standard" only because the first text standard information corresponding to the current first text generation information is not queried in the first text information database. The user terminal needs to first determine whether the current word processing information is the first word processing information. If the current word processing information is the first word processing information, the user terminal generates and outputs a word information determining instruction, which indicates that further confirmation needs to be performed on the first word generation information corresponding to the first word processing information. And the user inputs a feedback instruction of the text information determination instruction according to the text information determination instruction. The feedback instruction of the text information determination instruction includes a first feedback instruction (similar to an instruction representing that the user confirms that the text generation information is one of the standards) and a second feedback instruction (similar to an instruction representing that the user confirms that the text generation information is not one of the standards).
And when the feedback instruction is a first feedback instruction, the user terminal updates the number of the first character generation characters corresponding to the first character standard characters according to the feedback instruction, so that the number of the first character generation characters corresponding to the first character standard characters is increased by one, and updates the corresponding first character matching degree information according to the character matching degree information standard list corresponding to the updated number. And when the feedback instruction is a first feedback instruction, the user terminal updates the first character information database according to the first character generation character in the current first character generation information, that is, the current first character generation character is added into the first character information database as a first character standard character, so that when the user terminal receives the character generation character which is the same as the current character generation character again, whether the character generation character meets the standard or not can be directly determined according to the first character information database.
specifically, there may be a plurality of analysis result data obtained according to the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information, and the second character matching degree information, including but not limited to the following two ways, and a user may select and set one of the two ways as a method for determining the analysis result data according to needs.
In the first mode, the user terminal compares one or more lowest values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information with a preset threshold value to obtain analysis result data.
More specifically, fig. 2 is a flowchart of a method for determining analysis result data according to an embodiment of the present invention, and as shown in fig. 2, in a first manner, the method for determining analysis result data includes the following steps.
more specifically, according to the description of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information, and the second character matching degree information, the matching degree information can be understood as having a score, and the user terminal sets the highest values of the data values corresponding to the graph matching degree information, the number matching degree information, and the character matching degree information to be the same. This process may be understood as a process of setting the "highest score" of the "scores" represented by the five data values of the first pattern matching degree information, the second pattern matching degree information, the number matching degree information, the first character matching degree information, and the second character matching degree information to the same upper limit.
In a specific example, the original highest value of the first graph matching degree information data value is "10", the lowest value is "0", the first graph matching degree information itself value is "8", and the original highest values of the second graph matching degree information, the number matching degree information, the first character matching degree information, and the second character matching degree information data value are all "5", and the lowest value is "0". Updating the original highest value of the data value of the first graph matching degree information to be 5 which is the same as the original highest value of the data value of the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information, correspondingly updating the value of the first graph matching degree information to be 4 according to the value proportion, and keeping the values of the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information unchanged, so that the highest values of the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information are the same.
in further detail, comparing the sets of values may be understood as a set of values, which may include only one value or a plurality of values. According to the difference of the number of the values in the comparison value group, the comparison value group can be divided into: a first set of comparison values comprising only one value, a second set of comparison values comprising two values, and a third set of comparison values comprising three values. Correspondingly, the user terminal is further provided with thresholds for comparing with the values in the comparison value group, which are respectively: a first threshold for comparing with a value in the first set of comparison values, a second threshold for comparing with a value in the second set of comparison values, and a third threshold for comparing with a value in the third set of comparison values. Here, the threshold value may also be understood as a rule quantization value for performing information analysis based on the matching degree information to obtain an analysis result.
And the user terminal extracts the lowest numerical value of the data numerical values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information to be used as a first comparison numerical value group. In this case, only one value is included in the first comparison value group. If the value in the first comparison value set is lower than the first threshold value, step 205 is executed, and if the value in the first comparison value set is not lower than the first threshold value, step 203 is executed.
more specifically, when the value in the first comparison value group is not lower than the first threshold, the user terminal extracts the two lowest values of the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information as the second comparison value group. At this time, two values are included in the second comparison value group. If none of the values in the second comparison value set is lower than the second threshold value, step 205 is executed, and if none of the values in the second comparison value set is lower than the second threshold value, step 204 is executed, as compared to the preset second threshold value. Here, the fact that the value in the second comparison value group is lower than the second threshold value includes two possibilities, one is that any one value in the second comparison value group is lower than the second threshold value, and the other is that each value in the second comparison value group is lower than the second threshold value.
further specifically, when the values in the second comparison value group are not lower than the second threshold, the user terminal extracts the lowest three values of the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information as a third comparison value group, and at this time, the second comparison value group includes three values. If all values of the third set of comparison values are below the third threshold value, the following step 205 is performed, otherwise the following step 206 is performed.
In a specific example, the first pattern matching graph information and the second pattern matching degree information are "2" and "3", respectively, the number matching degree information is "0", the first character matching degree information and the second character matching degree information are "4" and "5", respectively, the first threshold value is "2", the second threshold value is "3", and the third threshold value is "4". The user terminal firstly extracts the lowest value '0' in the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information as a first comparison value group, compares the first comparison value group with a first threshold value '2', determines that the first comparison value group is lower than the first threshold value, then extracts the lowest values '0' and '2' in the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information as a second comparison value group, compares the second comparison value group with a second threshold value '3', determines that one data value in the second comparison value group is lower than the second threshold value, and then extracts the first graph matching degree information, the second graph matching degree information, the number matching degree information, The lowest values "0", "2", and "3" of the data values of the first character matching degree information and the second character matching degree information are the second comparison value group, and are compared with the third threshold value "4", and it is determined that the data values in the third comparison value group are all lower than the third threshold value, then the following step 206 is executed.
in further detail, the first final result data may be understood to represent one of the final analysis result data. The final analysis result data may be divided into first final result data (similar to the result representing the score "not good"), second final result data (similar to the result representing the score "good"), and third final result data (similar to the result representing the score "to be further evaluated").
And when the user terminal determines that the first comparison value group is lower than the first threshold, or all the values of the second comparison value group are lower than the second threshold, or all the values of the third comparison value group are lower than the third threshold, the user terminal generates and outputs first final result data.
further specifically, when the user terminal determines that all values of the third comparison value group are not lower than the third threshold, second final result data is generated and output.
The above step 201 and 206 are steps of the first method, and the second method for determining the analysis result data is as follows:
in the second way, the user terminal can divide the analysis result data into: the method comprises the steps of obtaining first analysis result data (similar to analysis results of all test questions) of single first graph matching degree information, single second graph matching degree information, single number matching degree information, single first character matching degree information and single second character matching degree information, and second analysis result data (similar to comprehensive analysis results of all test questions) of all the first graph matching degree information, the single second graph matching degree information, the single number matching degree information, the single first character matching degree information and the single second character matching degree information, and finally comprehensively determining final analysis result data according to the first analysis result data and the second analysis result data.
Further specifically, when determining the first analysis result data, the user terminal needs to determine the number of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information, and the second character matching degree information that are lower than the first preset matching degree information, and this process can be understood as follows: it is determined that there are several processes in which the analysis result is lower than the first preset analysis result in the analysis for each of the graphic processing information, the numerical processing information, and the word processing information. And then the user terminal obtains first analysis result data according to the matching number of the preset standard.
When the second analysis result data is determined, the user calculates to obtain comprehensive matching degree information according to the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information, and obtains the second analysis result data according to the second preset standard matching degree information.
In a specific example, the first pattern matching degree information and the second pattern matching degree information are respectively "1" and "2", the number matching degree information is "0", the first character matching degree information and the second character matching degree information are respectively "2" and "5", the first preset matching degree information is "3", the number of preset standard matches is "4", and the first preset matching degree information is "8". The user terminal determines that the number of the graph matching degree information, the number of the figure matching degree information and the number of the character matching degree information which are lower than the preset matching degree information is 4, and the number of the first preset standard matching which are lower than 3, and according to the comparison result, the user terminal obtains the first analysis result data which is unqualified. And the user terminal also obtains the second preset standard matching number with the comprehensive matching degree information of 10 and higher than 8, and the user terminal obtains the second analysis result data of qualified data.
And finally, the user terminal obtains final analysis result data according to the first analysis result data and the second analysis result data. If the first analysis result data is the same as the second analysis result data and is also the second result data (similar to the result representing the score of "disqualification"), the final analysis result data is the first final result data; if the first analysis result data is the same as the second analysis result data and is also the first result data (similar to the result representing the score "qualified"), the final analysis result data is the second final result data; and if the first analysis result data is different from the second analysis result data, the final analysis result data is third final result data. That is, if any one of the first analysis result data and the second analysis result data is the second result data and the other is the first result data, the analysis result needs to be further confirmed, and step 190 is executed.
specifically, in the second manner of determining the analysis result data, if the final analysis result data is the third final result data, it indicates that the analysis result of the information is a result similar to "suspect", and further confirmation of the information is required. And when the final analysis result data is third final result data, the user terminal generates a supplementary analysis instruction, and the processor extracts corresponding supplementary detection information and corresponding supplementary detection standard information from the information base according to the supplementary analysis instruction and sends the supplementary detection information and the supplementary detection standard information to the user terminal. And after the user terminal outputs the supplementary detection information and the corresponding supplementary detection standard information, the user terminal receives the supplementary generated information, obtains supplementary analysis result data according to the supplementary generated information and the supplementary detection standard information, and finally updates and outputs final analysis result data according to the supplementary analysis result data. Here, the process of the user terminal interacting with the processor and the process of the user terminal receiving and generating the related data may refer to the processes in the above step 110 to step 180, and are not described herein again.
In addition, in order to better understand the information analysis method proposed by the present invention, the following describes the information analysis method proposed by the present invention with a specific example.
In a specific embodiment, the user terminal first outputs user information, which may include user basic situation information, user number, and current date. Then, the user terminal extracts the first graphic processing information, the second graphic processing information, the numerical processing information, the first word processing information and the second word processing information corresponding to the "start processing item X", and the first graphic standard information, the second graphic standard information, the numerical standard information, the first word standard information and the second word standard information from the information base according to the "start processing item X" processing start instruction.
Wherein, the content output by the first graphic processing information is: please show the face of a clock, which needs to fill all the time in the face and indicate the 11 o' clock and 10 min with the pointer. "; the content output by the second graphic processing information is: "copy the underlying geometry"; the content output by the digital processing information is as follows: please start to say numbers from 100, subtract one 7 each time, and decrease all the way down to say the result of each step until the computer says stop. "; the content output by the first word processing information is as follows: "please recall that the computer just told your 5 things and did not need to say them in order" (before this, the user terminal will output "the computer below will say the name of 5 things with voice, ask you to listen to, and ask you to repeat one time, do not answer in order". The output time can be set before outputting the first graphic processing information); the content output by the second word processing information is: please take 1 minute to speak the names of various animals, all flying, running on the ground, swimming in the water. The more answers the better. "
After a user inputs first graphic generation information, second graphic generation information, digital voice information, first character voice information and second character voice information in the form of voice, characters and hand-drawn images, the user terminal firstly identifies the digital voice information, the first character voice information and the second character voice information to obtain the digital generation information, the first character generation information and the second character generation information. And then comparing the first graph generation information with the first graph standard information, the second graph generation information with the second graph standard information, the number generation information with the number standard information, the first character generation information with the first character standard information, and the second character generation information with the second character standard information to obtain first graph matching degree information, second graph matching degree information, number matching degree information, first character matching degree information and second character matching degree information.
The rule for obtaining the first graph matching degree information by comparing the first graph generation information with the first graph standard information may be specifically "lowest score 0, highest score 4"; 1 point is obtained for a complete circle; the number of 12 digits is not increased or decreased by 1 point; the accuracy of 12 digital positions is 1 point; the pointer position is accurate by 1 point ". The rule for obtaining the second graph matching degree information by comparing the second graph generation information with the second graph standard information can be specifically 'lowest 0 point, highest 3 points'; the structure is obviously abnormal, and 0 point is obtained; individual line error, 1 point is obtained; completely correct, get 2 points ". The rule for obtaining the digital matching degree information by comparing the digital generation information with the digital standard information can be specifically 'lowest 0 point and highest 4 points'; each answer is 1 point for 1 number, and 4 points for 4 steps. The rule for obtaining the first character matching degree information by comparing the first character generation information with the first character standard information may be specifically "lowest 0 score, highest 5 scores; score 1 per 1 word in correct answer. The rule for obtaining the second character matching degree information by comparing the second character generation information with the second character standard information may be specifically "lowest 0 score, highest 4 scores; 0 is obtained by answering 0 words; 1 score is obtained by answering 1-5 words; 2 points are obtained by answering 6-10 words; answer 11-15 words to score 3; answer 16 words and score 4 "above.
Finally, the user terminal may determine the final analysis result data according to the obtained number and/or total score of "standard a", "standard B", and "standard C" according to the relationship between the matching degree information and the standard shown in table 1 below.
TABLE 1
It should be understood that the above-mentioned embodiment is only a specific application of the information analysis method provided by the embodiment of the present invention, and other embodiments that can implement the present invention and are obtained by those skilled in the art without inventive exercise are within the scope of the present invention.
According to the information analysis method provided by the embodiment of the invention, the image analysis method is used for identifying and judging the figure, the character identification method is used for identifying and judging the number and the characters, the voice identification method is used for identifying and judging the voice, and information analysis is carried out on the information in various forms, so that the error rate of analysis, analysis and judgment is reduced, and the analysis result is more scientific and objective. The information analysis method provided by the embodiment of the invention is convenient for user operation and short in time consumption.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An information analysis method, characterized in that the method comprises:
the user terminal receives a processing start instruction;
the processor extracts a corresponding detection information list, detection information and corresponding detection standard information from an information base according to the processing start instruction and sends the detection information list, the detection information and the corresponding detection standard information to the user terminal; the detection information includes: the detection standard information comprises graphic standard information, digital standard information and character standard information;
the user terminal displays the detection information according to the detection information list and receives graph generation information, digital voice information and character voice information;
recognizing the digital voice information to generate digital generation information; recognizing the text voice information to generate text generation information;
comparing the graph generation information with the graph standard information to generate matching proportion information, and inquiring corresponding graph matching degree information according to a graph matching degree information standard list;
comparing the digital generation information with the digital standard information to generate digital matching degree information;
comparing the character generation information with the character standard information to generate character matching degree information;
and obtaining analysis result data according to the graph matching degree information, the number matching degree information and the character matching degree information, and outputting the analysis result data.
2. The information analysis method according to claim 1, characterized in that:
the graphics processing information includes: first graphics processing information and second graphics processing information;
the graphic standard information includes: first graphic standard information corresponding to the first graphic processing information, and second graphic standard information corresponding to the second graphic processing information;
the graphic generation information includes: first graphics-generating information corresponding to the first graphics-processing information, and second graphics-generating information corresponding to the second graphics-processing information;
the pattern matching degree information includes: first pattern matching degree information corresponding to the first pattern processing information, and second pattern matching degree information corresponding to the second pattern processing information;
the word processing information includes: first and second word processing information;
the text standard information comprises: first word standard information corresponding to the first word processing information, and second word standard information corresponding to the second word processing information;
the character generation information includes: first word generation information corresponding to the first word processing information, and second word generation information corresponding to the second word processing information;
the character matching degree information includes: first word matching degree information corresponding to the first word processing information, and second word matching degree information corresponding to the second word processing information;
the digital standard information comprises a plurality of digital standard characters; the number generation information includes a plurality of number generation characters.
3. The information analysis method according to claim 2, wherein the comparing the digital generation information with the digital standard information to generate digital matching degree information specifically includes:
sequentially comparing each piece of digital generation information with each piece of digital standard character according to the character sequence in each piece of digital generation information and each piece of digital standard character;
and generating the digital matching degree information according to the sequential comparison result.
4. The information analysis method according to claim 2, wherein the comparing the character generation information with the character standard information to generate character matching degree information specifically includes:
respectively inquiring whether first character standard information corresponding to the first character generation information exists in a character information database and whether second character standard information corresponding to the second character generation information exists in the character information database;
the first character generation information comprises one or more first character generation characters; the second character generation information comprises one or more second character generation characters; the first literal standard information comprises a plurality of first literal standard characters; the second text standard information comprises a plurality of second text standard characters;
and obtaining the number of the first character generation characters corresponding to the first character standard characters and the number of the second character generation characters corresponding to the second character standard characters according to the query result, and respectively querying and obtaining the corresponding first character matching degree information and the corresponding second character matching degree information according to a character matching degree information standard list.
5. The information analysis method according to claim 4, wherein before the obtaining, according to the query result, the number of the first literal generating character corresponding to the first literal standard character and the number of the second literal generating character corresponding to the second literal standard character, the method further comprises:
and carrying out duplication elimination processing on the first character generation character and the second character generation character to obtain a duplicated first character generation character and a duplicated second character generation character.
6. The information analysis method according to claim 5, wherein the text information database includes: a first text information database corresponding to the first text processing information, and a second text information database corresponding to the second text processing information;
the first character information base is specifically used for inquiring whether first character standard information corresponding to the first character generation information exists or not; the second text information database is specifically used for inquiring whether second text standard information corresponding to the second text generation information exists.
7. The information analysis method according to claim 6, wherein when first literal standard information corresponding to the first literal generation character does not exist in the first literal information database, the method further comprises:
generating a text information determining instruction, and receiving a feedback instruction of the text information determining instruction;
when the feedback instruction is a first feedback instruction, updating the number of the first character generation characters corresponding to the first character standard characters according to the feedback instruction, and updating the first character matching degree information according to a character matching degree information standard list;
and when the feedback instruction is a first feedback instruction, generating characters according to the current first character and updating the first character information database.
8. The information analysis method according to claim 7, wherein the obtaining of analysis result data according to the pattern matching degree information, the number matching degree information, and the character matching degree information specifically includes:
setting the highest values of the data numerical values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information to be the same;
step 1, extracting the lowest value of the data values of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information as a first comparison value group, comparing with a first threshold value, if the first comparison value group is lower than the first threshold value, generating first final result data, and if the first comparison value group is not lower than the first threshold value, executing step 2;
step 2, extracting the lowest two values of the data values of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first character matching degree information and the second character matching degree information to serve as a second comparison value group, comparing with a second threshold value, if all the values of the second comparison value group are lower than the second threshold value, generating first final result data, and if not, executing the step 3;
and 3, extracting the lowest three numerical values of the data numerical values of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first character matching degree information and the second character matching degree information to serve as a third comparison numerical value group, comparing the lowest three numerical values with a third threshold value, if all numerical values of the third comparison numerical value group are lower than the third threshold value, generating first final result data, and otherwise, generating second final result data.
9. The information analysis method according to claim 7, wherein the obtaining of analysis result data according to the pattern matching degree information, the number matching degree information, and the character matching degree information specifically includes:
determining the number of the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information which are lower than the number of preset matching degree information, and obtaining first analysis result data according to the number of the first preset standard matching;
calculating to obtain comprehensive matching degree information according to the first graph matching degree information, the second graph matching degree information, the number matching degree information, the first character matching degree information and the second character matching degree information, and obtaining second analysis result data according to second preset standard matching degree information;
obtaining final analysis result data according to the first analysis result data and the second analysis result data; the final analysis result data further includes the first final result data, the second final result data, and a third final result data.
10. The information analysis method according to claim 9, wherein when the final analysis result data is the third final result data, the method further comprises:
the processor extracts corresponding supplementary detection information and corresponding supplementary detection standard information from an information base and sends the supplementary detection information and the supplementary detection standard information to the user terminal;
the user terminal receives the supplementary generation information,
and obtaining supplementary analysis result data according to the supplementary generation information and the supplementary detection standard information, updating final analysis result data according to the supplementary analysis result data, and outputting the final analysis result data.
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