CN111898923B - Information analysis method - Google Patents
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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 graph generation information, the digital voice information and the text voice information; identifying the digital voice information to generate digital generation information; recognizing the text voice information to generate text generation information; comparing the graph generating information with the graph standard information, and inquiring the corresponding graph matching degree information; comparing the digital generated information with digital standard information to generate digital matching degree information; comparing the character generating information with character standard information to generate character matching degree information; and obtaining analysis result data according to the graph matching degree information, the digital 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
At present, most of methods for evaluating various information still stay in a mode of manually communicating or manually judging whether the questions answer correctly, which is very time-consuming and energy-consuming. In the manual operation, the value of the information or the meaning represented by the information is determined by people, and the information evaluation mode is not scientific and objective.
In addition, in the current information evaluation method, a "one-cut" method is generally adopted to judge the value of information or the meaning represented by the value, that is, a "no-this" method is adopted to be information qualitative, which is also unscientific and not objective.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an information analysis method, which comprises the steps of identifying and judging graphs by an image analysis method, identifying and judging numbers and characters by a character identification method, identifying and judging voices by a voice identification method, and analyzing information in various forms, so that the error rate of 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 starting instruction;
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, and sends the detection information list, the detection information and the corresponding detection standard information to the user terminal; the detection information includes: graphic processing information, word processing information and digital processing information, wherein the detection standard information comprises graphic standard information, digital standard information and word standard information;
The user terminal displays the detection information according to the detection information list and receives graphic generation information, digital voice information and text voice information;
Identifying the digital voice information to generate digital generation information; recognizing the text voice information to generate text generation information;
Comparing the graph generating 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 generated information with the digital standard information to generate digital matching degree information;
comparing the character generating 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 digital matching degree information and the character matching degree information, and outputting the analysis result data.
Preferably:
The graphic processing information includes: first graphic processing information and second graphic 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 graphic generation information corresponding to the first graphic processing information, and second graphic generation information corresponding to the second graphic processing information;
The pattern matching degree information includes: first graphics matching degree information corresponding to the first graphics processing information, and second graphics matching degree information corresponding to the second graphics processing information;
The word processing information includes: first word processing information 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 text generation information comprises: first word generation information corresponding to the first word processing information, and second word generation information corresponding to the second word processing information;
The text matching degree information comprises: 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:
Comparing each digital generation information with each digital standard character in turn according to the character sequence in each digital generation information and each digital standard character;
and generating the digital matching degree information according to the sequential comparison result.
Further preferably, the text generation information is compared with the text standard information, and the text matching degree information is specifically generated by:
respectively inquiring whether first character standard information corresponding to the first character generation information and second character standard information corresponding to the second character generation information exist in a character information database;
The first word generation information includes one or more first word generation characters; the second word generation information includes one or more second word generation characters; the first text standard information comprises a plurality of first text standard characters; the second text standard information comprises a plurality of second text standard characters;
And obtaining the number of the first character generating characters corresponding to the first character standard characters and the number of the second character generating 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 second character matching degree information according to a character matching degree information standard list.
Further preferably, before the number of the first character generating characters corresponding to the first character standard characters and the number of the second character generating characters corresponding to the second character standard characters are obtained according to the query result, the method further includes:
And performing duplication removal 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 word information database corresponding to the first word processing information, and a second word information database corresponding to the second word processing information;
The first text information base is specifically used for inquiring whether first text standard information corresponding to the first text 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 text standard information corresponding to the first text generation character in the first text 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 generating 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 characters and updating the first character information database.
Further preferably, the obtaining analysis result data according to the graphic matching degree information, the digital matching degree information and the text matching degree information specifically includes:
setting the highest 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 be the same;
step 1, extracting the lowest numerical value in 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 as a first comparison value group, and if the first comparison value group is lower than a 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 first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first character matching degree information and the data values of the second character matching degree information to be used as a second comparison value group, and if all the values of the second comparison value group are lower than a second threshold value, generating first final result data, otherwise, executing step 3;
And 3, extracting the lowest three 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 be used as a third comparison value group, and if all the values of the third comparison value group are lower than a third threshold value, generating the first final result data, otherwise, generating the second final result data.
Further preferably, the obtaining analysis result data according to the graphic matching degree information, the digital matching degree information and the text matching degree information specifically includes:
Determining the number of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information which are lower than the preset matching degree information, and obtaining first analysis result data according to the first preset standard matching number;
the comprehensive matching degree information is obtained according to 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, and second analysis result data is obtained 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 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 the information base and sends the supplementary detection information and the corresponding supplementary detection standard information to the user terminal;
said user terminal receiving supplementary generated 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.
According to the information analysis method provided by the embodiment of the invention, the image analysis method is used for identifying and judging the figures, the character recognition method is used for identifying and judging the numbers and the characters, the voice recognition method is used for identifying and judging the voices, and the information is analyzed in various forms, so that the analysis and judgment error rate 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 the user to operate and has short time consumption.
Drawings
FIG. 1 is a flow chart of a method for 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 scheme of the invention is further described in detail through the drawings and the embodiments.
The flow chart of the method is shown in fig. 1, and the method comprises the following steps:
step 110, receiving a processing start instruction by a user terminal;
Specifically, when the user wants to perform information analysis on a certain item of information, a process start instruction needs to be input to the user terminal. Here, information analysis of an item of information can be understood as: the information is evaluated to determine the value of the information or the meaning it represents. A user terminal may be understood as an intelligent terminal with data processing functions, such as a mobile phone, a computer or a tablet computer.
Step 120, the processor extracts the corresponding detection information list, detection information and corresponding detection standard information from the 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;
In particular, a processor may be understood as an apparatus or device other than a user terminal having data processing, computing functions, such as a server. After receiving the processing start instruction, the user terminal sends the processing start instruction to the processor. The processor may be coupled 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.
The detection information list may be understood as a display rule for displaying detection information, such as a display order of the respective detection information, a display space required for each detection information, and the like. The detection information can be understood as the title required in analyzing the information. The detection standard information can be understood as standard answers corresponding to the detection information.
Further 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 word standard information corresponding to the word processing information.
Wherein the graphic processing information can be understood as: the analysis emphasis includes analyzing regular geometric structures and information for analyzing graphic types that is expressed in whole of the object representation. Digitally processed information can be understood as: the analysis focuses on the information of the digital operation. Word processing information can be understood as: analysis focuses on the information that analyzes the content of individual words.
Step 130, 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 text voice information;
Specifically, the user terminal displays the detection information according to the detection information list, so as to display 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 to the user terminal by a user, or can be information input by the user and obtained from a memory or other external devices by the user terminal.
Wherein the graphic generation information corresponds to the graphic processing information, and can be understood as information of graphic type, such as a hand-drawn image. Digital voice information corresponds to digital processing information and can be understood as voice type information for expressing numbers, such as contents of "100, 93, 86, 79, 65" inputted by a user through voice. The text-to-speech information corresponds to word processing information and can be understood as speech type information for expressing contents of independent words, such as contents of "football, schoolbag, peony, apple, ship" inputted by a user through speech.
Step 140, performing recognition processing on the digital voice information and the text voice information to generate digital generation information and text generation information respectively;
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 text voice information need to be identified and analyzed respectively, and the sequence of analyzing the digital voice information and the text voice information can 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 text voice information to generate text 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 generated information and the text generated information obtained after voice recognition are both data in text format, so that the digital voice information and the text voice information are recognized in this step to generate digital generated information and text generated information respectively, and the process of converting "voice" into "text" can also be understood. And, the number generation information includes a plurality of number generation characters, each number generation character representing a complete number, and the plurality of number generation characters includes endianness information for representing an endianness between the plurality of number generation characters; the word generation information includes a plurality of word generation characters, each representing a complete word.
After the user terminal obtains the graphic generation information, the digital generation information and the character generation information, the graphic generation information, the digital generation information and the character generation information are respectively required to be compared with the corresponding standard information, and the comparison sequence can be serial in sequence or parallel at the same time. That is, the following steps 150, 160 and 170 may be performed simultaneously or in a predetermined order.
Step 150, comparing the graph generating information with the graph standard information, and inquiring the graph matching degree information;
Specifically, the present step is a process of performing information analysis on the graphic information and obtaining an analysis result of the graphic information, which is different from the steps 160 and 170.
The matching degree information comprises graph matching degree information, digital matching degree information and character matching degree information. The matching degree can be understood as a percentage, and the matching value, namely the matching degree information, is obtained by scribing 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 can be understood as information with different analysis emphasis, for example, the first graphic processing information is information for analyzing a regular geometric figure structure, and the second graphic processing information is information for analyzing an overall expression 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 graphic generation information corresponding to the first graphic processing information, and second graphic generation information corresponding to the second graphic processing information. The pattern matching degree information includes: first graphics matching degree information corresponding to the first graphics processing information, and second graphics matching degree information corresponding to the second graphics processing information.
In a specific example, the first graphic processing information for the overall expression of the analysis object image is "please draw a dial of a timepiece here, fill all time, and point out 11 points by 10 points with pointers". The second graphic processing information for analyzing the regular geometric structure is "please draw one pass around this figure (here, a standard cube figure is drawn)".
Firstly, the user terminal respectively compares the first graphic generation information and the second graphic generation information with the first graphic standard information and the second graphic standard information to generate respective matching proportion information. The matching ratio information may be understood as percentage data for representing the similarity of the graphic generation information and the graphic standard information. And then, the user terminal queries 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 pattern matching degree information standard list comprises the corresponding relation between the matching proportion information and the pattern matching degree information.
Step 160, comparing the digital generated information with the digital standard information to generate digital matching degree information;
Specifically, the present step is a process of performing information analysis on the digital information and obtaining an analysis result of the digital information, which is different from steps 150 and 170.
The digital standard information includes a plurality of digital standard characters, each digital standard character representing a complete number in one digital standard information, for example, "100", "93" in "100, 93", instead of a single number such as "1", "0", "9", "3". And the plurality of numeric standard characters also includes endianness information for representing the order between the plurality of numeric standard characters.
The digital matching degree information may be classified into first digital matching degree information and second digital matching degree information according to the analysis result, for example, the first digital matching degree information represents an analysis result representing "error" and the second digital 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 comparing each digital generation character with each digital standard character in sequence is adopted according to the character sequence information of the digital standard characters and the character sequence information of the digital generation characters. When comparing one digital generation information with the corresponding digital standard character, generating first digital matching degree information; and when any number generation information is matched with the corresponding number standard character, generating second number matching degree information.
This process may be understood as the user terminal detecting the number generation character information in the number generation information starting from the number generation information start character until one number generation character does not coincide with its corresponding number standard character, and generating the first number matching degree information, whether or not the number generation character following the number generation character is correct. And if each digital generation character information in the digital generation information accords with the corresponding digital standard character, the user terminal generates second digital matching degree information.
Step 170, comparing the character generating information with character standard information to generate character matching degree information;
Specifically, the present step is a process of performing information analysis for word information and obtaining an analysis result of the word information, which is different from steps 150 and 160.
The word processing information includes: the first word processing information and the second word processing information are also understood as information having different emphasis of information analysis. The first word processing information may be understood as divergent information having no unique criteria for the analysis and the second word processing information may be understood as information having unique, fixed criteria 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 text 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 text matching degree information comprises: 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 word information database corresponding to the first word processing information, and a second word information database corresponding to the second word processing information.
The user terminal may be connected to a first text information database and a second text information database. The first text information database and the second text information database store corresponding text standard information, the text standard information comprises a plurality of text standard characters, and each text standard character represents a complete word in one text standard information, such as football and schoolbag.
The user terminal performs duplication elimination processing on a plurality of character generation characters in the first character generation information and the second character generation information, and eliminates repeated words in the character generation characters to obtain a plurality of first character generation characters corresponding to the duplicated first character generation information and a plurality of second character generation characters corresponding to the second character generation information.
And then, the user terminal inquires whether the character standard characters corresponding to the first character generation characters exist in the first character information database, and obtains the number of the first character generation characters corresponding to the first character standard characters according to the inquiry result. If there is a first character generating character conforming to the first character standard character, the number of the first character generating 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 generating characters corresponding to the first character standard characters. And the user terminal inquires whether the character standard characters corresponding to the second character generation characters exist in the second character information database, obtains the number of the second character generation characters corresponding to the second character standard characters according to the inquiry result, and inquires to obtain the second character matching degree information according to the number of the second character generation characters corresponding to the second character standard characters.
Further specifically, since the first word processing information is divergent information similar to that without the unique criterion, the current first word generation information may be one of the criteria, but the criterion is not yet stored in the first word information database. Step 171 is therefore also required to be performed after the query has obtained the first text matching degree information.
Step 171, determining whether to update the first text 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 which meets 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 when the first word generating information corresponding to the first word processing information needs to be further confirmed. And the user inputs a feedback instruction of the text information determining instruction according to the text information determining instruction. The feedback instructions of the text information determination instruction include a first feedback instruction (similar to an instruction representing a user confirming that the text generation information is one of the standards) and a second feedback instruction (similar to an instruction representing a user confirming that the text generation information is not one of the standards).
When the feedback instruction is a first feedback instruction, the user terminal updates the number of the first character generating characters corresponding to the first character standard characters according to the feedback instruction, so that the number of the first character generating characters corresponding to the first character standard characters is increased by one, and the corresponding first character matching degree information is updated according to the updated number corresponding to the character matching degree information standard list. And when the feedback instruction is a first feedback instruction, the user terminal updates the first character information database according to the first character generating character in the current first character generating information, namely, the current first character generating character is used as a first character standard character to be added into the first character information database, so that the user terminal can directly determine whether the character generating character accords with the standard or not according to the first character information database when receiving the character generating character which is the same as the current character generating character again next time.
Step 180, obtaining analysis result data according to the graph matching degree information, the digital matching degree information and the character matching degree information, and outputting the analysis result data;
Specifically, the analysis result data obtained according to the first pattern matching degree information, the second pattern matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information may be various, including but not limited to the following two modes, and the user may select one of the two modes as a method for determining the analysis result data according to the need.
In the first mode, the user terminal compares one or more minimum values of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information with a preset threshold value to obtain analysis result data according to the comparison value group.
In further detail, fig. 2 is a flowchart of a method for determining analysis result data according to an embodiment of the present invention, as shown in fig. 2, in a first mode, the method for determining analysis result data includes the following steps.
Step 201, setting the highest 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 be the same;
Further specifically, according to the description of the first pattern matching degree information, the second pattern matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information, the matching degree information can be understood as a score, and the user terminal sets the highest value of the data values corresponding to the pattern matching degree information, the digital matching degree information and the text matching degree information to be the same. This process can 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 digital 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 first pattern matching degree information has a data value of "10" and a data value of "0" as the lowest value, the first pattern matching degree information itself has a data value of "8", and the second pattern matching degree information, the digital matching degree information, the first text matching degree information, and the second text matching degree information have a data value of "5" as the highest value and "0" as the lowest value. The original highest value of the data value of the first graph matching degree information is updated to be 5 which is the same as the original highest value of the data value of the second graph matching degree information, the digital matching degree information, the first character matching degree information and the second character matching degree information, correspondingly, the value of the first graph matching degree information is updated to be 4 according to the value proportion, the values of the second graph matching degree information, the digital matching degree information, the first character matching degree information and the second character matching degree information are unchanged, and therefore the highest 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 are the same.
Step 202, extracting a first comparison value set, and determining whether the first comparison value set is lower than a first threshold;
Further, the comparison value group may be understood as a set of values, and the set may include only one value or may include a plurality of values. According to the different numbers 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 also provided with thresholds for comparing with the values in the comparison value group, and the thresholds are respectively as follows: a first threshold value for comparison with values in the first set of comparison values, a second threshold value for comparison with values in the second set of comparison values, and a third threshold value for comparison with values in the third set of comparison values. Here, the threshold value may also be understood as a rule quantized value for performing information analysis based on the matching degree information to obtain an analysis result.
The user terminal extracts the lowest numerical value in 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 first comparison numerical value group. At this time, only one value is included in the first comparison value group. Step 205 is performed if the values in the first set of comparison values are below the first threshold value compared to a preset first threshold value, and step 203 is performed if the values in the first set of comparison values are not below the first threshold value.
Step 203, extracting a second comparison value set, and determining whether the second comparison value set is lower than a second threshold;
Further specifically, when the value in the first comparison value group is not lower than the first threshold, the user terminal extracts the lowest two values in the data values of the first pattern matching degree information, the second pattern matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information as the second comparison value group. At this time, the second comparison value group includes two values. Step 205 is performed if the values in the second set of comparison values are below the second threshold value, and step 204 is performed if none of the values in the second set of comparison values are below the second threshold value, as compared to a preset second threshold value. Here, the values in the second comparison value group being below the second threshold value includes two possibilities, one being that any value in the second comparison value group is below the second threshold value and the other being that each value in the second comparison value group is below the second threshold value.
Step 204, extracting a third comparison value set, and determining whether the third comparison value set is lower than a third threshold;
Further specifically, when the values in the second comparison value set are not lower than the second threshold, the user terminal extracts the lowest three values from the data values of the first pattern matching degree information, the second pattern matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information as a third comparison value set, and at this time, the second comparison value set includes three values. If all values of the third set of comparison values are below the third threshold, then step 205 is performed, otherwise step 206 is performed.
In a specific example, the first pattern matching chart information and the second pattern matching degree information are respectively "2" and "3", the digital matching degree information is "0", the first text matching degree information and the second text matching degree information are respectively "4" and "5", 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" 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 as a first comparison value group, compares with a first threshold value "2", determines that the first comparison value group is lower than the first threshold value, then the user terminal extracts the lowest value "0", "2" 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 as a second comparison value group, compares with a second threshold value "3", determines that one data value of the second comparison value group is lower than the second threshold value, then the user terminal extracts the lowest value "0", "2", "3" of the data values of the first graph matching degree information, the second graph matching degree information, the first character matching degree information and the second character matching degree information as a second comparison value group, compares with a third threshold value "4", and determines that the lowest value "0", "2" and "3" of the data values of the first graph matching degree information and the second character matching degree information as a second comparison value group is lower than the third comparison value group, and then the third data is lower than the third threshold value 206.
Step 205, generating first final result data and outputting the first final result data;
Further specifically, the first final result data may be understood as representing 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 "fail"), second final result data (similar to the result representing the score "pass"), and third final result data (similar to the result representing the score "wait for further evaluation").
When the user terminal determines that the first comparison value group is lower than the first threshold value, or all values of the second comparison value group are lower than the second threshold value, or all values of the third comparison value group are lower than the third threshold value, the user terminal generates and outputs first final result data.
Step 206, generating and outputting second final result data;
further specifically, when the user terminal determines that all values of the third comparison value set are not lower than the third threshold value, second final result data is generated and output.
The above steps 201-206 are steps of the first approach, while a second approach to determine analysis result data is as follows:
In a second way, the user terminal may divide the analysis result data into: 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 first graphics matching degree information, second graphics matching degree information, digital matching degree information, and the number of the first text matching degree information and the second text matching degree information being lower than the first preset matching degree information, which can be understood as: in determining the analysis for each of the graphic processing information, the digital processing information, and the word processing information, there are several processes in which the analysis result is lower than the first preset analysis result. And then the user terminal obtains first analysis result data according to the preset standard matching number.
And 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 digital matching degree information, the first text matching degree information and the second text 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 digital matching degree information is "0", the first text matching degree information and the second text matching degree information are respectively "2" and "5", the first preset matching degree information is "3", the preset standard matching number is "4", and the first preset matching degree information is "8". The user terminal determines that the number of the pattern matching degree information, the digital matching degree information and the character matching degree information is 4 less than the number of the preset matching degree information and is 3 less than the number of the first preset standard matching numbers, and according to the comparison result, the user terminal obtains that the first analysis result data is disqualified. And the user terminal also obtains the second preset standard matching number higher than '8' when the comprehensive matching degree information is '10', and the user terminal obtains the second analysis result data as 'qualified'.
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 the same as the second result data (similar to the result representing the score "disqualifying"), 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 the same as the first result data (similar to the result representing the "qualified" score), the final analysis result data is the second final result data; 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 either 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, further confirmation of the analysis result is required, and step 190 is performed.
Step 190, generating a supplementary analysis instruction when the final analysis result data is third final result data;
Specifically, in the second manner of determining the analysis result data, if the final analysis result data is the third final result data, it is indicated that the analysis result of the information is a result similar to "suspected" and further confirmation of the information is required. And when the final analysis result data is the third final result data, the user terminal generates a supplementary analysis instruction, and the supplementary analysis instruction is used for extracting corresponding supplementary detection information and corresponding supplementary detection standard information from the information base by the processor according to the supplementary analysis instruction and sending the supplementary detection information and the corresponding supplementary detection standard information to the user terminal. And the user terminal receives the supplementary generation information after outputting the supplementary detection information and the corresponding supplementary detection standard information, obtains supplementary analysis result data according to the supplementary generation 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 steps 110 to 180, which are not described herein.
In addition, in order to better understand the information analysis method according to the present invention, the information analysis method according to the present invention will be described below with reference to a specific embodiment.
In a specific embodiment, the user terminal first outputs user information, which may include user basic condition information, user number, current date, and the like. Then, the user terminal extracts the first graphic processing information, the second graphic processing information, the digital processing information, the first word processing information, and the second word processing information, and the first graphic standard information, the second graphic standard information, the digital standard information, the first word standard information, and the second word standard information corresponding to the "start processing item X" from the information base according to the "start processing item X" processing start instruction.
The content output by the first graphic processing information is as follows: "please draw a dial of a timepiece, fill all the time in the dial, and point out the position of 11 points by 10 minutes with a pointer. "; the content output by the second graphic processing information is: "please copy the geometry underneath"; the content output by the digital processing information is as follows: "please say the number from 100, minus one 7 at a time, decreasing down, say the number of each step until the computer is stopped. "; the content output by the first word processing information is: "please recall 5 samples that the computer just told you do not have to speak in order" (before this, the user terminal will output "the name of 5 samples that the computer will speak in voice below, please listen to you, and please repeat you, without answering in order". Output time can be set before outputting the first graphic processing information); the content output by the second word processing information is: "please use 1 minute to say the names of various animals, all flying, running on the ground, and swimming in the water. The more answers the better. "
After the user inputs the first graphic generation information, the second graphic generation information, the digital voice information, the first text voice information and the second text voice information in the form of voice, text and hand-drawn images, the user terminal firstly recognizes the digital voice information, the first text voice information and the second text voice information to obtain the digital generation information, the first text generation information and the second text generation information. And then comparing the first graph generating information with the first graph standard information, the second graph generating information with the second graph standard information, the digital generating information with the digital standard information, the first character generating information with the first character standard information and the second character generating information with the second character standard information respectively to obtain first graph matching degree information, second graph matching degree information, digital matching degree information, first character matching degree information and second character matching degree information.
The rule for comparing the first graph generating information with the first graph standard information to obtain the first graph matching degree information may be specifically "lowest 0 score, highest 4 score; a complete circle is given 1 score; the number 12 is not increased or decreased by 1 minute; the 12 digital positions are accurately 1 minute; the pointer position accurately gets 1 point). The rule for comparing the second graph generating information with the second graph standard information to obtain the second graph matching degree information may be specifically "lowest 0 score, highest 3 score; the structure is obviously abnormal, and the score of 0 is obtained; individual line errors, get 1 score; completely correct, get 2 points. The rule for comparing the digital generated information with the digital standard information to obtain the digital matching degree information can be specifically that the lowest score is 0 and the highest score is 4; each pair of 1 numbers is given a score of 1, and the pairs of more than 4 steps are given a score of 4. The rule for comparing the first text generation information with the first text standard information to obtain the first text matching degree information may be specifically "lowest score 0, highest score 5; a score of 1 is obtained for every 1 word answered correctly. The rule for comparing the second text generation information with the second text standard information to obtain the second text matching degree information may be specifically "lowest score 0, highest score 4; answering 0 words to obtain a score of 0; answering 1-5 words to obtain 1 score; answering 6-10 words to obtain score 2; answering 11-15 words to obtain 3 points; more than 16 words are answered to a score of 4).
Finally, the user terminal may determine final analysis result data according to the relationship between the matching degree information and the standard shown in the following table 1, and according to the obtained numbers and/or total scores of the "standard a", "standard B" and "standard C".
TABLE 1
It should be understood that the above embodiment is only one specific application manner of the information analysis method provided by the embodiment of the present invention, and other embodiments that can be obtained by a person skilled in the art without any inventive effort to implement the present invention are all 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 figures, the character recognition method is used for identifying and judging the numbers and the characters, the voice recognition method is used for identifying and judging the voices, and the information is analyzed in various forms, so that the analysis and judgment error rate 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 the user to operate and has short time consumption.
Those of skill would further appreciate that the various illustrative elements 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 elements and steps are described above generally in terms of function in order to clearly illustrate the 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 solution. 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, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed 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 foregoing detailed description of the invention has been presented for purposes of illustration and description, and it should be understood that the invention is not limited to the particular embodiments disclosed, but is intended to cover all modifications, equivalents, alternatives, and improvements within the spirit and principles of the invention.
Claims (6)
1. A method of information analysis, the method comprising:
the user terminal receives a processing starting instruction;
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, and sends the detection information list, the detection information and the corresponding detection standard information to the user terminal; the detection information includes: graphic processing information, word processing information and digital processing information, wherein the detection standard information comprises graphic standard information, digital standard information and word standard information;
the user terminal displays the detection information according to the detection information list and receives graphic generation information, digital voice information and text voice information;
Identifying the digital voice information to generate digital generation information; recognizing the text voice information to generate text generation information;
Comparing the graph generating 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 generated information with the digital standard information to generate digital matching degree information;
comparing the character generating information with the character standard information to generate character matching degree information;
Obtaining analysis result data according to the graph matching degree information, the digital matching degree information and the text matching degree information, and outputting the analysis result data;
The graphic processing information includes: first graphic processing information and second graphic 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 graphic generation information corresponding to the first graphic processing information, and second graphic generation information corresponding to the second graphic processing information;
The pattern matching degree information includes: first graphics matching degree information corresponding to the first graphics processing information, and second graphics matching degree information corresponding to the second graphics processing information;
The word processing information includes: first word processing information 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 text generation information comprises: first word generation information corresponding to the first word processing information, and second word generation information corresponding to the second word processing information;
The text matching degree information comprises: 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;
the analysis result data obtained according to the graph matching degree information, the digital matching degree information and the text matching degree information specifically comprises:
setting the highest 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 be the same;
step 1, extracting the lowest numerical value in 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 as a first comparison value group, and if the first comparison value group is lower than a 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 first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first character matching degree information and the data values of the second character matching degree information to be used as a second comparison value group, and if all the values of the second comparison value group are lower than a second threshold value, generating first final result data, otherwise, executing step 3;
Step 3, extracting the lowest three 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 data values of the second character matching degree information to be used as a third comparison value group, and if all the values of the third comparison value group are lower than a third threshold value, generating first final result data, otherwise, generating second final result data;
the analysis result data obtained according to the graph matching degree information, the digital matching degree information and the text matching degree information specifically comprises:
Determining the number of the first graph matching degree information, the second graph matching degree information, the digital matching degree information, the first text matching degree information and the second text matching degree information which are lower than the preset matching degree information, and obtaining first analysis result data according to the first preset standard matching number;
the comprehensive matching degree information is obtained according to 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, and second analysis result data is obtained 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; if the first analysis result data is the same as the second analysis result data and is not qualified, 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 qualified, the final analysis result data is the second final result data; if the first analysis result data is different from the second analysis result data, the final analysis result data is third final result data; the final analysis result data further comprises the first final result data, the second final result data and the third final result data;
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 the information base and sends the supplementary detection information and the corresponding supplementary detection standard information to the user terminal;
said user terminal receiving supplementary generated 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.
2. The method of claim 1, wherein comparing the digital generated information with the digital standard information to generate digital matching degree information specifically comprises:
Comparing each digital generation information with each digital standard character in turn according to the character sequence in each digital generation information and each digital standard character;
and generating the digital matching degree information according to the sequential comparison result.
3. The information analysis method according to claim 1, wherein the character generation information is compared with the character standard information, and character matching degree information is generated specifically as follows:
respectively inquiring whether first character standard information corresponding to the first character generation information and second character standard information corresponding to the second character generation information exist in a character information database;
The first word generation information includes one or more first word generation characters; the second word generation information includes one or more second word generation characters; the first text standard information comprises a plurality of first text standard characters; the second text standard information comprises a plurality of second text standard characters;
And obtaining the number of the first character generating characters corresponding to the first character standard characters and the number of the second character generating 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 second character matching degree information according to a character matching degree information standard list.
4. The information analysis method according to claim 3, wherein before the number of the first character generation characters corresponding to the first character standard character and the number of the second character generation characters corresponding to the second character standard character are obtained according to the query result, the method further comprises:
And performing duplication removal 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.
5. The information analysis method according to claim 4, wherein the text information database includes: a first word information database corresponding to the first word processing information, and a second word information database corresponding to the second word processing information;
the first text information database is specifically used for inquiring whether first text standard information corresponding to the first text 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.
6. The information analysis method according to claim 5, wherein when first character standard information corresponding to the first character generation character does not exist in the first character 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 generating 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 characters and updating the first character information database.
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