CN110222678B - Topic analysis method, system, readable storage medium and electronic device - Google Patents
Topic analysis method, system, readable storage medium and electronic device Download PDFInfo
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- CN110222678B CN110222678B CN201910364116.6A CN201910364116A CN110222678B CN 110222678 B CN110222678 B CN 110222678B CN 201910364116 A CN201910364116 A CN 201910364116A CN 110222678 B CN110222678 B CN 110222678B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/338—Presentation of query results
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
- G06V10/225—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
Abstract
The invention discloses a question analysis method, which comprises the following steps: establishing a question library according to a plurality of question information and question analysis; when a scanning instruction is obtained, scanning the title of a designated area and corresponding correction information, capturing the title of which the correction information is wrong, and obtaining a wrong title; performing character recognition on the wrong question to obtain wrong question information; and comparing the wrong question information with the question information in the question bank, taking and displaying a plurality of question information with the similarity higher than a first threshold value, and displaying the corresponding question for the question information with the highest similarity. The invention can independently list the question analysis of the error question, and also can select other questions with higher similarity for the student to do intensive exercise aiming at the error question, thereby realizing the deficiency of guiding the student in a targeted manner. The invention also discloses a question analysis system, a readable storage medium and electronic equipment adopting the method.
Description
Technical Field
The invention relates to the technical field of intelligent education, in particular to a question analysis method, a question analysis system, a readable storage medium and electronic equipment.
Background
At present, electronic products are more and more popular, and methods for shooting a problem and seeking network question answering by using camera shooting functions of intelligent terminal products such as mobile phones, tablet computers and the like are widely applied
At present, most education electronic products shoot questions through a camera, images obtained through shooting are recognized through an image character recognition technology (OCR) and converted into a segment of characters, and questions are searched in a network question bank through the segment of characters, so that the trouble that students or teachers look up data is avoided.
Although the prior art can realize the analysis of shooting questions to obtain the questions, when the number of questions is large, such as a homework or a test paper which is corrected by a teacher, the prior education electronic product can shoot all the questions in sequence, but can feed back all the questions except wrong questions to be analyzed, and can not give additional strengthening exercises to students, thus being incapable of guiding the students in a targeted manner.
Disclosure of Invention
One object of the present invention is to provide a problem analysis method that can specifically guide students' deficiencies.
A topic analysis method includes the following steps:
establishing a question library according to a plurality of question information and question analysis;
when a scanning instruction is obtained, scanning the title of a designated area and corresponding correction information, capturing the title of which the correction information is wrong, and obtaining a wrong title;
performing character recognition on the wrong question to obtain wrong question information;
and comparing the wrong question information with the question information in the question bank, taking and displaying a plurality of question information with the similarity higher than a first threshold value, and displaying the corresponding question for the question information with the highest similarity.
According to the question analysis method provided by the invention, after all questions are scanned in sequence, the questions of the error questions can be listed for analysis, and other questions with higher similarity can be selected for student intensive practice aiming at the error questions, so that the deficiency of guiding students in a targeted manner is realized.
In addition, the topic analysis method provided by the invention can also have the following additional technical characteristics:
further, the step of establishing an item library according to the question information and question analysis further comprises:
generating identification information according to the identity information of a plurality of specified users, and establishing a user information base;
when a scanning instruction is acquired, capturing the identification information, and acquiring the identity information corresponding to the identification information according to the user information base.
Further, the step of establishing an item library according to the question information and question analysis comprises:
dividing the identification information into a plurality of groups in the user information base according to the identity information;
dividing the question information and the questions into a plurality of grades according to the grouping, and respectively establishing a plurality of question libraries;
and after the identity information is scanned and identified, selecting and executing the question bank with the corresponding grade.
Further, the step of scanning the title and the corresponding correction information of the designated area comprises:
presetting standard subject colors, and analyzing all colors of the specified area;
and capturing an area with a color difference with the standard subject, wherein the graph of the area is the correction information.
Further, the step of capturing the title that the correction information is "wrong", and obtaining the wrong title includes:
presetting standard error correction information, wherein the standard error correction information comprises standard correct correction information and standard error correction information;
and comparing the correction information with the standard error correction information through image recognition, taking the correction information with the similarity greater than a second threshold value with the standard error correction information, judging that the correction information is wrong, and determining that the corresponding question is a wrong question.
Further, the step of capturing the title that the correction information is "wrong", and obtaining the wrong title further includes:
taking the correction information with the similarity larger than a second threshold value with the standard correct correction information, judging the correction information as 'right', obtaining right questions, and counting the number of the wrong questions and the right questions;
after all the questions to be scanned are scanned, inputting the total number of the questions to be scanned, and reminding a user to check when the sum of the wrong questions and the correct questions is smaller than the total number.
Further, the step of comparing the wrong topic information with the topic information in the topic library, and taking and displaying a plurality of topic information with similarity higher than a first threshold value includes:
presetting that all the questions are divided into a plurality of examination points, and dividing the questions in the question bank into a plurality of sub-question banks according to the examination points;
and comparing the wrong question information with all question information in the question bank, taking the question information with similarity higher than a first threshold value to obtain the corresponding sub-question bank, and selecting and displaying a plurality of question information from the sub-question bank.
A topic analysis system adopts the topic analysis method, and comprises the following steps:
the question bank module is used for storing all the question information and the question analysis;
the scanning module is used for scanning the title and the corresponding correction information of the designated area and converting the title and the correction information into an image;
the character recognition module is used for recognizing the image;
and the comparison module is used for comparing the information identified by the character identification module with the title information, obtaining the similarity, selecting and displaying a plurality of title information with the similarity higher than a first threshold value.
A readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the topic analysis method described above.
An electronic device comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the title analysis method when executing the program.
The beneficial effects of the invention at least comprise:
(1) the problem analysis of the error problem can be listed independently, and other problems with higher similarity can be selected for the student to do intensive exercise aiming at the error problem, so that the deficiency of guiding the student in a targeted manner is realized;
(2) grouping according to the identity information of the user, and establishing a plurality of question banks, such as a first-grade question bank and a second-grade question bank, so as to ensure that question information obtained by the user for question analysis and strengthening exercise conforms to the cognitive degree of the user;
(3) when the teacher is reading in batches, more than two left marks of 'right' and 'wrong' are close to each other or coincide with each other, the system can miss judgment, and the user can be informed through counting at the moment;
(4) the question library is divided according to the examination points, so that the question information for strengthening exercises can be further selected in a targeted manner according to the deficiency of the user.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a topic analysis method according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a topic analysis method according to a second embodiment of the present invention;
FIG. 3 is a block diagram showing a topic analysis system according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Referring to FIG. 1, a topic analysis method according to a first embodiment of the present invention includes steps S1-S4.
In this embodiment, the user refers to a student, and in the correction information, "right" corresponds to the hook-shaped image and "wrong" corresponds to the fork-shaped image.
S1, establishing a question bank according to a plurality of question information and question analysis.
It can be understood that a large question bank is established according to all the question information and corresponding question analyses that can be searched by the network or the textbook, and the user can obtain the corresponding question analyses from the question bank.
S2, when a scanning instruction is obtained, scanning the title of the designated area and the corresponding correction information, capturing the title of which the correction information is wrong, and obtaining the wrong title.
Specifically, the step of scanning the title and the corresponding correction information of the designated area includes:
presetting standard subject colors, and analyzing all colors of the specified area;
and capturing an area with a color difference with the standard subject, wherein the graph of the area is the correction information.
In this embodiment, the color of the preset standard theme is black.
It can be understood that the color in the image can be captured by using the image recognition technology, and the teacher generally uses a red pen when correcting the homework or test paper of the student, that is, the correction information is mostly red, and the preset color is black, so that there is a clear difference. When the red color exists in the image, the red image can be independently extracted, so that the division of the title and the correction information is realized, the influence of the image of the title on the image of the correction information is prevented, and the judgment precision is improved.
In addition, the step of capturing the title of which the correction information is 'wrong' and obtaining the wrong title comprises:
presetting standard error correction information, wherein the standard error correction information comprises standard correct correction information and standard error correction information;
and comparing the correction information with the standard error correction information through image recognition, taking the correction information with the similarity greater than a second threshold value with the standard error correction information, judging that the correction information is wrong, and determining that the corresponding question is a wrong question.
In this embodiment, the second threshold is 80%, and the user may also select the threshold according to actual situations.
It can be understood that the standard correct correction information is a fixed hook-shaped image, the standard incorrect correction information is a fixed fork-shaped image, the two images have obvious difference, the extracted red image and the standard incorrect correction information are selected for comparison during comparison, the coincidence degree, namely the similarity, of the two images is calculated, when the similarity is greater than a second threshold value, the correction information is judged to be 'wrong', and the topics located in the same designated area are wrong topics.
Preferably, the step of capturing the title that the correction information is "wrong", and obtaining the wrong title further includes:
taking the correction information with the similarity larger than a second threshold value with the standard correct correction information, judging the correction information as 'right', obtaining right questions, and counting the number of the wrong questions and the right questions;
after all the questions to be scanned are scanned, inputting the total number of the questions to be scanned, and reminding a user to check when the sum of the wrong questions and the correct questions is smaller than the total number.
It should be noted that, the obtained wrong questions and correct questions are counted, and when the sum of the number of the wrong questions and correct questions is less than the total number of the questions of the job or the test paper, it indicates that the partial region scanning is wrong, and the user needs to be reminded to check.
And S3, performing character recognition on the wrong question to obtain wrong question information.
It should be noted that, after obtaining the wrong question, the wrong question is subjected to character recognition, and the embodiment adopts an OCR character recognition technology to obtain the wrong question information in an electronic version character format, so as to facilitate subsequent execution of comparison.
And S4, comparing the wrong question information with the question information in the question bank, taking and displaying a plurality of question information with the similarity higher than a first threshold value, and displaying the corresponding question for the question information with the highest similarity.
In the present embodiment, the first threshold is 85%.
Specifically, the step of comparing the wrong question information with the question information in the question bank, and taking and displaying a plurality of question information with similarity higher than a first threshold value includes:
presetting that all the questions are divided into a plurality of examination points, and dividing the questions in the question bank into a plurality of sub-question banks according to the examination points;
and comparing the wrong question information with all question information in the question bank, taking the question information with similarity higher than a first threshold value to obtain the corresponding sub-question bank, and selecting and displaying a plurality of question information from the sub-question bank.
It can be understood that, in many cases, even though the word expressions of the topics are similar, the examination points of the topics are different greatly, in this embodiment, the topic database is divided into a plurality of sub-topic databases according to the examination points in advance, and when the topic information with higher similarity is selected, the topics in the sub-topic databases corresponding to the examination points are preferentially selected, so that the selected topic information is better in pertinence.
The invention has the advantages that after all questions are scanned in sequence, the questions of the error questions can be listed for analysis, and other questions with higher similarity can be selected for students to practice intensively aiming at the error questions, thereby realizing the deficiency of guiding the students in a targeted manner.
Referring to fig. 2, a second embodiment of the present invention provides a title analysis method, which is substantially the same as the first embodiment except that step S1 is replaced with step S1'.
The specific steps of step S1' include:
generating identification information according to the identity information of a plurality of specified users, and establishing a user information base;
when a scanning instruction is acquired, capturing the identification information, and acquiring the identity information corresponding to the identification information according to the user information base;
dividing the identification information into a plurality of groups in the user information base according to the identity information;
dividing the question information and the questions into a plurality of grades according to the grouping, and respectively establishing a plurality of question libraries;
and after the identity information is scanned and identified, selecting and executing the question bank with the corresponding grade.
It should be noted that although the questions are the same, the analysis methods are different because the knowledge points grasped in each learning stage are different, for example, the same problem solving method is greatly different between the seventh grade and the eighth grade, even the students in the seventh grade cannot understand the problem solving method in the eighth grade, so it is necessary to select the corresponding question banks hierarchically according to the identity information of the students.
Referring to fig. 3, a third embodiment of the present invention provides a topic analysis system, which adopts the topic analysis method of the second embodiment, including:
the question bank module is used for storing all the question information and the question analysis;
the scanning module is used for scanning the title and the corresponding correction information of the designated area and converting the title and the correction information into an image;
the character recognition module is used for recognizing the image;
and the comparison module is used for comparing the information identified by the character identification module with the title information, obtaining the similarity, selecting and displaying a plurality of title information with the similarity higher than a first threshold value.
It can be understood that the scanning module and the character recognition module can be used for recognizing the questions and the correction information and obtaining wrong questions, the question bank module can be used for obtaining the analysis about the wrong questions and obtaining other questions similar to the wrong questions, and therefore the user can conduct strengthening exercise.
Specifically, the scanning module further comprises a color capturing unit for capturing red hooks and forks, so that subsequent judgment of wrong questions is facilitated.
A fourth embodiment of the present invention is directed to a readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the topic analysis method described above.
A fourth embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the topic analysis method described above when executing the program. The electronic device can be a mobile phone, a tablet computer or any other electronic product with a scanning function.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (5)
1. A topic analysis method is characterized by comprising the following steps:
establishing a question library according to a plurality of question information and question analysis;
when a scanning instruction is obtained, scanning the title of a designated area and corresponding correction information, capturing the title of which the correction information is wrong, and obtaining a wrong title;
executing character recognition on the wrong questions by an OCR character recognition technology to obtain wrong question information of an electronic version character format;
presetting that all questions are divided into a plurality of examination points, and dividing the questions in the question bank into a plurality of sub-question banks according to the examination points;
comparing the wrong question information with all question information in the question bank, taking the question information with similarity higher than a first threshold value to obtain a corresponding sub-question bank, selecting and displaying a plurality of question information from the sub-question bank, and displaying the corresponding question analysis for the question information with highest similarity;
the step of establishing the question bank according to the question information and question analysis specifically comprises the following steps:
generating identification information according to the identity information of a plurality of specified users, and establishing a user information base;
when a scanning instruction is acquired, capturing the identification information, and acquiring the identity information corresponding to the identification information according to the user information base;
dividing the identification information into a plurality of groups in the user information base according to the identity information;
dividing the question information and the questions into a plurality of grades according to the grouping, and respectively establishing a plurality of question libraries;
after the identity information is scanned and identified, selecting and executing the question bank with the corresponding grade;
the step of capturing the title of which the correction information is wrong, and obtaining the wrong title specifically comprises the following steps:
presetting standard error correction information, wherein the standard error correction information comprises standard correct correction information and standard error correction information;
comparing the correction information with the standard error correction information through image recognition, taking the correction information with the similarity greater than a second threshold value with the standard error correction information, judging that the correction information is wrong, and determining that the corresponding question is a wrong question;
taking the correction information with the similarity larger than a second threshold value with the standard correct correction information, judging the correction information as 'right', obtaining right questions, and counting the number of the wrong questions and the right questions;
after all the questions to be scanned are scanned, inputting the total number of the questions to be scanned, and reminding a user to check when the sum of the wrong questions and the correct questions is smaller than the total number.
2. The topic analysis method of claim 1, wherein the step of scanning the topic and the corresponding wholesale information of the designated area comprises:
presetting standard subject colors, and analyzing all colors of the specified area;
and capturing an area with a color difference with the standard subject, wherein the graph of the area is the correction information.
3. A topic analysis system according to any one of claims 1 to 2, comprising:
the question bank module is used for storing all the question information and the question analysis;
the scanning module is used for scanning the title and the corresponding correction information of the designated area and converting the title and the correction information into an image;
the character recognition module is used for recognizing the image;
and the comparison module is used for comparing the information identified by the character identification module with the title information, obtaining the similarity, selecting and displaying a plurality of title information with the similarity higher than a first threshold value.
4. A readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the topic analysis method of any one of claims 1 to 2.
5. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the topic analysis method of any one of claims 1 to 2 when executing the program.
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| CN111753767A (en) * | 2020-06-29 | 2020-10-09 | 广东小天才科技有限公司 | Method and device for automatically correcting operation, electronic equipment and storage medium |
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| CN112231028B (en) * | 2020-10-12 | 2022-08-26 | 武汉智云优鸿科技有限公司 | Wrong question analysis learning method, device, terminal and medium |
| CN112488110A (en) * | 2020-12-18 | 2021-03-12 | 深圳简捷电子科技有限公司 | Method and system for accurately capturing local information in picture |
| CN113851021A (en) * | 2021-09-18 | 2021-12-28 | 读书郎教育科技有限公司 | Wrong-answer-book-based recommended learning system and method |
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