Questionnaire design method based on keywords and related products
Through the keyword-based questionnaire design method, preset keywords and weight values, and design corresponding questionnaire questions and options, the problems of low quality, low efficiency and inaccurate feedback in the existing questionnaire design technology are solved, and efficient and accurate information acquisition is achieved.
Patent Information
- Application Number
- CN202311159390.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-09-11
- Publication Date
- 2025-03-14
AI Technical Summary
The existing questionnaire design technology has problems such as low quality, low efficiency and inaccurate feedback, which leads to unrealistic questions, difficulty filling in the respondents, and low efficiency in obtaining information.
A keyword-based questionnaire design method is adopted, keywords are preset and weight values are set for each keyword, questionnaire questions and options are designed to correspond to keywords, and keyword status is calculated by filling in the results of the interviewees, and information is quickly obtained.
The quality and efficiency of questionnaire design have been improved, ensuring that the content of the questionnaire is realistic, the respondents are easy to fill in, and the efficiency and accuracy of information acquisition have been significantly improved.
Smart Images
Figure CN119621949A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the general data processing technology field of the Internet industry, and specifically relates to a keyword-based questionnaire design method and related products. Background Art
[0002] The present invention relates to a questionnaire design method, specifically, a questionnaire design method that can quickly obtain information based on preset keywords. Questionnaire is a commonly used tool for collecting information and data. Questionnaire design is an important part of questionnaire survey, which directly affects the effect and value of questionnaire survey.
[0003] However, there are still some problems in the existing questionnaire design technology, such as: due to the questionnaire designer's insufficient understanding of the needs and characteristics of the respondents, or insufficient grasp of professional knowledge and statistical methods, the questionnaire questions are not practical and cannot effectively reflect the respondents' real situation and opinions; due to too many, too long, or too complex questionnaire questions, or inappropriate questionnaire distribution methods, the respondents spend too much time and energy filling out the questionnaires, or refuse to fill out or fill out the questionnaires at random; due to the questionnaire questions not clearly pointing to specific information or data, or no effective verification mechanism is set, which leads to ambiguity or misunderstanding when the respondents fill out the questionnaires, or deliberately conceal or give false answers, etc. Therefore, the present invention aims to provide a new type of questionnaire mode, in which each question or option of the questionnaire points to different preset or automatically generated keywords, so that keyword-based information can be quickly obtained through the results of the questionnaire filling. Summary of the invention
[0004] The purpose of the present invention is to provide a novel questionnaire design method to solve the problems of low quality, low efficiency, inaccurate feedback, etc. in the existing questionnaire design technology.
[0005] Therefore, it is necessary to design a questionnaire design method so that it can quickly obtain information based on preset keywords.
[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A keyword-based questionnaire design method comprises the following steps: Step 1: Preset a set of keywords based on the information or data you need to obtain, and set a weight value for each keyword; Step 2: Design the questionnaire questions and options based on the preset keywords, so that each question or option corresponds to one or more keywords; Step 3: Distribute questionnaires to respondents and collect responses from them; Step 4: Based on the results filled in by a single respondent, calculate the corresponding keywords selected by the respondent; Step 5: Based on the results filled in by a large number of respondents, calculate the keywords selected by the respondent group; Step 6: Acquire, analyze and display information or data based on the keywords.
[0007] Furthermore, the specific process of step 1 is as follows: first, determine the purpose and scope of the investigation, and analyze the type, characteristics, source, etc. of the information or data to be obtained; second, based on the information or data to be obtained, collect words that may be related to it from relevant documents, materials, websites and other channels, and use text analysis tools or methods such as word frequency statistics, part-of-speech tagging, and topic models to extract high-frequency, highly relevant, and highly representative keywords; third, from the extracted keywords, according to keyword extraction standards or specifications such as LDA and TextRank, evaluate and select keywords that best reflect the information or data to be obtained, and select keywords that best reflect the information or data to be obtained from the collected vocabulary; finally, use mathematical or statistical tools or methods such as entropy weight method, hierarchical analysis method, fuzzy comprehensive evaluation method, etc., comprehensively consider the importance, relevance, and discrimination of keywords in documents, materials, websites and other channels, give a reasonable weight value, and assign a weight value to each keyword to indicate the importance of the keyword in obtaining information or data.
[0008] Furthermore, the specific process of step 2 is, first, according to the preset keywords and weight values, determine the basic elements of the questionnaire such as the form, structure, and length; second, according to the preset keywords and weight values, design the questionnaire questions and options so that each question or option can clearly point to one or more keywords and follow the principles and specifications of questionnaire design; finally, check and modify the questionnaire questions and options to ensure the completeness, accuracy, rationality and effectiveness of the questionnaire content.
[0009] Furthermore, the specific process of step 3 is as follows: first, determine the survey subjects and sample size, and select appropriate survey methods and channels based on the characteristics and conditions of the survey subjects; second, distribute questionnaires to respondents, and provide necessary guidance and explanations to respondents to improve the willingness and quality of respondents to fill in the questionnaires; finally, collect the results filled in by the respondents, and preliminarily organize and clean the results to exclude invalid or erroneous data.
[0010] In the process of arranging and cleaning data, in addition to using conventional market research standards or specifications such as the SAMPLAN model, the SMART model, the PDCA cycle, etc., formulating and executing survey plans, and excluding invalid or erroneous data, the present invention also provides a standard for data cleaning by judging whether there are a large number of conflicts between keywords. When the results filled in by the respondents are inconsistent with the preset keywords and weight values, if there are a large number of contradictions between the keyword groups formed by their selection results, they can be regarded as invalid data.
[0011] Furthermore, the specific process of step 4 is as follows: first, encode and enter the results filled in by each respondent, and convert the keywords and weight values corresponding to each question or option into numerical data; second, calculate the score of each respondent corresponding to each keyword based on the encoded data, and the score is equal to the sum of the keyword weight values corresponding to the question or option selected by the respondent; finally, based on the score of each respondent corresponding to each keyword, judge the respondent's preference and attitude towards different information or data, and use some data analysis tools or methods, such as cluster analysis, factor analysis, discriminant analysis, etc., to divide the respondents into different types or groups.
[0012] Furthermore, the specific process of step 5 is as follows: first, summarize and analyze the results filled in by all respondents, and calculate the selection frequency and average score of each keyword among all respondents; second, divide the different categories and characteristics of the respondent group according to the selection frequency and average score of each keyword, such as high frequency and high score, high frequency and low score, low frequency and high score, low frequency and low score, etc., and use data analysis tools or methods such as cluster analysis, factor analysis, and discriminant analysis to divide the respondents into different types or groups; finally, according to the different categories and characteristics of the respondent group, describe the overall preference and attitude of the respondent group towards different information or data, and use some descriptive statistical tools or methods, such as mean, standard deviation, variance analysis, etc., to show and explain the characteristics and differences of the respondent group.
[0013] Furthermore, the specific process of step 6 is as follows: first, according to the selection frequency and average score of each keyword, determine the priority and importance of obtaining information or data, and use some decision support tools or methods, such as hierarchical analysis method, fuzzy comprehensive evaluation method, multi-attribute decision-making method, etc., to evaluate and sort the value and urgency of information or data; secondly, according to the priority and importance of obtaining information or data, collect the required information or data from relevant literature, materials, websites and other channels, and perform necessary processing and sorting on them, and use some data processing tools or methods, such as data cleaning, data conversion, data normalization, etc., to improve the quality and availability of information or data; finally, according to the type, characteristics, source, etc. of the information or data, select appropriate ways and methods to analyze and display the information or data, and use some data visualization tools or methods, such as tables, charts, texts, etc., to present and explain the meaning and value of the information or data.
[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention presets a set of keywords and sets weight values for each keyword, so that the questionnaire content and objectives can be flexibly customized to meet the information or data acquisition needs of different fields and scenarios; Compared with the prior art, the present invention can design each question or option to correspond to one or more keywords, can effectively convert the questionnaire filling results into keyword conditions, quickly obtain keyword-based information or data, improve the efficiency and accuracy of information or data acquisition, and simplify the process of information or data processing and analysis; Compared with the prior art, the present invention can calculate the keywords selected by a single respondent based on the results filled in by the respondent, judge the respondent's preference and attitude towards different information or data, and improve the pertinence and personalization of information or data acquisition; Compared with the prior art, the present invention can calculate the keywords selected by the respondent group according to the results filled in by a large number of respondents, describe the overall preference and attitude of the respondent group towards different information or data, and improve the comprehensiveness and objectivity of information or data acquisition; The present invention acquires, analyzes and displays information or data according to keyword conditions, and can intuitively present the results and value of the questionnaire survey, thereby improving the efficiency and quality of information or data utilization. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] Obviously, the drawings described below are merely embodiments of the present application, and a person skilled in the art can obtain other drawings based on them without any creative work.
[0016] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION
[0017] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.
[0018] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.
[0019] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0020] A keyword-based questionnaire design method, according to the information or data to be obtained, the specific way of presetting keywords is: according to the information or data to be obtained, collect words that may be related to it from relevant documents, materials, websites and other channels, and use text analysis tools or methods such as word frequency statistics, part-of-speech tagging, topic models, etc., to extract high-frequency, highly relevant, and highly representative keywords. From the extracted keywords, according to the keyword extraction standards or specifications such as LDA and TextRank, evaluate and select the keywords that best reflect the information or data to be obtained, and select the keywords that best reflect the information or data to be obtained from the collected vocabulary.
[0021] The specific way to set weight values for keywords based on the information or data to be obtained is: use mathematical or statistical tools or methods such as entropy weight method, hierarchical analysis method, fuzzy comprehensive evaluation method, etc., comprehensively consider the importance, relevance, and discrimination of keywords in literature, materials, websites and other channels, and give a reasonable weight value. Each keyword is assigned a weight value to indicate the importance of the keyword in obtaining information or data.
[0022] The specific method of establishing a direct connection between each question or option and the corresponding one or more keywords is: determine the basic elements of the questionnaire such as the form, structure, and length based on the preset keywords and weight values; design the questionnaire questions and options based on the preset keywords and weight values so that each question or option can clearly point to one or more keywords, and follow the principles and specifications of questionnaire design; finally, check and modify the questionnaire questions and options to ensure the completeness, accuracy, rationality, and effectiveness of the questionnaire content.
[0023] The specific methods for preliminarily sorting and cleaning the results and excluding invalid or erroneous data are as follows: use conventional market research standards or specifications such as the SAMPLAN model, SMART model, PDCA cycle, etc., formulate and implement survey plans, and exclude invalid or erroneous data. In addition, by judging whether there are a large number of conflicts in keywords as the standard for data cleaning, when the results filled in by the respondents are inconsistent with the preset keywords and weight values, if there are a large number of contradictory keywords between the keywords in their selection results, such as keywords are antonyms, there are large differences between keywords and belong to the same category, they can be regarded as invalid data.
[0024] The specific method for calculating the results of a single respondent's answers based on keywords is as follows: encode and enter the results filled in by each respondent, and convert the keywords and weight values corresponding to each question or option into numerical data. Based on the encoded data, calculate the score of each respondent corresponding to each keyword, and the score is equal to the sum of the keyword weight values corresponding to the question or option selected by the respondent. Based on the score of each respondent corresponding to each keyword, judge the respondent's preference and attitude towards different information or data, and use some data analysis tools or methods, such as cluster analysis, factor analysis, discriminant analysis, etc., to divide the respondents into different types or groups.
[0025] The specific method of calculating the results filled in by group respondents based on keywords is: summarize and analyze the results filled in by all respondents, and calculate the selection frequency and average score of each keyword among all respondents. According to the selection frequency and average score of each keyword, the different categories and characteristics of the respondent group are divided, such as high frequency and high score, high frequency and low score, low frequency and high score, low frequency and low score, etc., and data analysis tools or methods such as cluster analysis, factor analysis, and discriminant analysis are used to divide the respondents into different types or groups. According to the different categories and characteristics of the respondent group, describe the overall preference and attitude of the respondent group towards different information or data, and use some descriptive statistical tools or methods, such as mean, standard deviation, variance analysis, etc., to show and explain the characteristics and differences of the respondent group.
[0026] The specific method of analyzing and displaying information or data based on keywords is: determine the priority and importance of obtaining information or data according to the selection frequency and average score of each keyword, and use some decision support tools or methods, such as hierarchical analysis method, fuzzy comprehensive evaluation method, multi-attribute decision-making method, etc., to evaluate and sort the value and urgency of information or data. According to the priority and importance of obtaining information or data, collect the required information or data from relevant literature, materials, websites and other channels, and perform necessary processing and sorting on them, and use some data processing tools or methods, such as data cleaning, data conversion, data normalization, etc., to improve the quality and availability of information or data. According to the type, characteristics, source, etc. of information or data, select appropriate ways and methods to analyze and display information or data, and use some data visualization tools or methods, such as tables, charts, texts, etc., to present and explain the meaning and value of information or data.
[0027] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions without departing from the spirit and scope of the present invention, and can make various changes and modifications, including the combination of the above-mentioned different functions and implementation steps, including software and hardware implementation methods, all of which are within the scope of protection of the present invention.
Claims
1. A keyword-based questionnaire design method, comprising the following steps: Preset a set of keywords and set weight values for them; Design questionnaire questions and options based on preset keywords; Distribute questionnaires and collect results; Calculate keywords based on the respondents’ results; Calculate keyword situations based on a large number of interviewee results; obtain, analyze and display information or data.
2. The method according to claim 1, characterized in that The preset set of keywords and their weights is performed in one of the following ways: First, manually select or input a set of keywords or set weights based on factors such as the type, scope, and objectives of the information or data to be obtained; second, automatically extract or generate a set of keywords or automatically calculate or optimize a weight value based on the relevant literature, materials, databases, and other sources of the information or data to be obtained; finally, automatically match or recommend a set of keywords or automatically evaluate or modify a weight value based on the relevant fields, industries, and professions of the information or data to be obtained. The above keyword selection and weight setting methods do not need to correspond one to one, but can be freely combined or used simultaneously according to actual needs.
3. A method according to any preceding claim, characterised in that The design of the questionnaire questions and options is carried out in one of the following ways: First, according to the preset keywords and weight values, the questionnaire titles and options are manually written or edited, and each title or option corresponds to one or more keywords; secondly, according to the preset keywords and weight values, the questionnaire titles and options are automatically generated or modified, and each title or option corresponds to one or more keywords; finally, according to the preset keywords and weight values, the questionnaire titles and options are automatically matched or recommended, and each title or option corresponds to one or more keywords.
4. A method according to any preceding claim, characterised in that The calculation of the keywords selected by a single respondent is performed in one of the following ways: first, based on the result filled in by the single respondent, a weighted sum is performed on one or more keywords corresponding to each question or option to obtain the total score of the keywords selected by the respondent; Secondly, based on the results filled out by individual respondents, one or more keywords corresponding to each question or option are weighted averaged to obtain the average score of the keywords selected by the respondent; finally, based on the results filled out by individual respondents, one or more keywords corresponding to each question or option are weighted ranked to obtain the priority of the keywords selected by the respondent.
5. A method according to any preceding claim, characterised in that The calculation of the keywords selected by the respondent group is performed in one of the following ways: first, based on the results filled in by a large number of respondents, statistical analysis is performed on each keyword to obtain indicators such as the number of times, proportion, and distribution of the keyword selected in the respondent group; Secondly, based on the results filled out by a large number of respondents, a cluster analysis is performed on each keyword to obtain indicators such as the category, characteristics, and similarity of the keyword in the respondent group; finally, based on the results filled out by a large number of respondents, an association analysis is performed on each keyword to obtain indicators such as the connection, influence, and rules between the keyword and other keywords in the respondent group.
6. A method according to any preceding claim, characterised in that The acquisition, analysis and display of information or data based on the keyword situation is carried out in one of the following ways: first, based on the keyword situation corresponding to the selected keyword of the individual respondent or the respondent group, the information or data associated with the keyword is generated or extracted, and displayed to the user in the form of text, chart, audio, video, etc.; second, based on the keyword situation corresponding to the selected keyword of the individual respondent or the respondent group, the information or data associated with the keyword is compared or evaluated, and displayed to the user in the form of ratings, rankings, comments, recommendations, etc.; finally, based on the keyword situation corresponding to the selected keyword of the individual respondent or the respondent group, the information or data associated with the keyword is predicted or inferred, and displayed to the user in the form of predicted values, probabilities, trends, suggestions, etc.
7. A keyword-based questionnaire design product, characterized in that: It includes the following modules: a keyword preset module, which is used to preset a group of keywords according to the information or data to be obtained, and set a weight value for each keyword, which may include one or more of the following sub-modules: a keyword selection sub-module, which is used to manually select or input a group of keywords according to factors such as the type, scope, and target of the information or data to be obtained; a keyword extraction sub-module, which is used to automatically extract or generate a group of keywords according to the relevant literature, materials, databases and other sources of the information or data to be obtained; a keyword matching sub-module, which is used to automatically match or recommend a group of keywords according to the relevant fields, industries, professions and other backgrounds of the information or data to be obtained; a keyword assignment sub-module, which is used to manually assign or adjust a weight value for each keyword according to factors such as the importance, relevance, and representativeness of each keyword in the information or data to be obtained; The keyword calculation submodule is used to automatically calculate or optimize a weight value based on the frequency, position, degree and other indicators of each keyword in the relevant literature, materials, databases and other sources of the information or data to be obtained, and may include one or more of the following submodules: The keyword evaluation submodule is used to automatically evaluate or correct a weight value based on the universality, particularity, standardization and other standards of each keyword used in the relevant fields, industries, professions and other contexts of the information or data to be obtained.
8. A keyword-based questionnaire design product, characterized in that: It includes the following modules: A questionnaire design module, which is used to design questionnaire titles and options based on preset keywords, so that each title or option corresponds to one or more keywords, and may include one or more of the following sub-modules: A questionnaire writing sub-module, which is used to manually write or edit questionnaire titles and options based on preset keywords and weight values, and so that each title or option corresponds to one or more keywords; The questionnaire generation submodule is used to automatically generate or modify questionnaire titles and options according to preset keywords and weight values, and make each title or option correspond to one or more keywords; The questionnaire matching submodule is used to automatically match or recommend questionnaire titles and options based on preset keywords and weight values, and make each title or option correspond to one or more keywords. And its questionnaire distribution module is used to distribute questionnaires to respondents and collect the results filled in by respondents.
9. A keyword-based questionnaire design product, characterized in that: It includes the following modules: a keyword calculation module, which is used to calculate the keywords selected by a single respondent based on the results filled in by the respondent, and to calculate the keywords selected by a group of respondents based on the results filled in by a large number of respondents. It may include one or more of the following sub-modules: a keyword summation sub-module, which is used to perform weighted summation of one or more keywords corresponding to each question or option based on the results filled in by a single respondent, to obtain the total score of the keywords selected by the respondent; The keyword average submodule is used to perform a weighted average of one or more keywords corresponding to each question or option based on the results filled in by a single respondent, and obtain the average score of the keyword selected by the respondent; The keyword ranking submodule is used to perform weighted ranking of one or more keywords corresponding to each question or option based on the results filled in by a single respondent, and obtain the keyword priority corresponding to the respondent's selection; The keyword frequency submodule is used to conduct statistical analysis on each keyword based on the results filled in by a large number of respondents, and obtain indicators such as the number of times, proportion, and distribution of the keyword selected among the respondents; The keyword clustering submodule is used to perform cluster analysis on each keyword based on the results filled in by a large number of respondents, and obtain indicators such as the category, characteristics, and similarity of the keyword in the respondent group; The keyword association submodule is used to perform association analysis on each keyword based on the results filled in by a large number of respondents, and obtain indicators such as the connection, influence, and regularity of the keyword with other keywords in the respondent group.
10. A keyword-based questionnaire design product, characterized in that: It includes the following modules: an information acquisition module, which is used to acquire, analyze and display information or data according to the keyword situation, and may include one or more of the following sub-modules: an information generation sub-module, which is used to generate or extract information or data associated with the keyword according to the keyword situation selected by a single respondent or a group of respondents, and display it to the user in the form of text, chart, audio, video, etc.; an information comparison sub-module, which is used to compare or evaluate the information or data associated with the keyword according to the keyword situation selected by a single respondent or a group of respondents, and display it to the user in the form of rating, ranking, comment, recommendation, etc.; an information prediction sub-module, which is used to predict or infer the information or data associated with the keyword according to the keyword situation selected by a single respondent or a group of respondents, and display it to the user in the form of predicted value, probability, trend, suggestion, etc.