CN114416911A - Analysis report generation method, related device, medium, and program - Google Patents
Analysis report generation method, related device, medium, and program Download PDFInfo
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Abstract
The present application relates to the field of big data technology, and in particular, to an analysis report generation method, a related apparatus, a medium, and a program, where the method includes: acquiring a target demand keyword set; retrieving according to the target demand keyword set to obtain a target material set; acquiring title contents of a reference analysis report template to obtain a plurality of title contents; acquiring a processing parameter corresponding to each title content in the plurality of title contents to obtain a plurality of processing parameter sets; determining display content corresponding to each title content in the title contents according to the processing parameter sets and the target material set to obtain a plurality of display contents; and generating a target analysis report according to the display contents and the title contents. By adopting the embodiment of the application, the generation efficiency of the analysis report can be improved.
Description
Technical Field
The present application relates to the field of data processing technology and big data technology, and in particular, to an analysis report generation method, a related apparatus, a related medium, and a program.
Background
The analysis report is a relatively common style and comprises a market analysis report, an industry analysis report, an economic situation analysis report, a social problem analysis report and the like. The subject is the main part of the analysis report, and is generally the main case, practice, experience or problem of the survey analysis. If the content is rich and the space is long, the content is preferably divided into a plurality of parts, and each part is added with a subtitle; the content of the analysis report is difficult to summarize by words, the sequence can be indicated by sequence codes, and at present, the analysis report often needs a user to look up a large amount of documents and edit the documents, so that the realization of the analysis report is very energy-consuming, and therefore, the problem of how to quickly generate the analysis report needs to be solved urgently.
Disclosure of Invention
The embodiment of the application provides an analysis report generation method, a related device, a medium and a program, which can improve the generation efficiency of an analysis report.
In a first aspect, an embodiment of the present application provides an analysis report generation method, where the method includes:
acquiring a target demand keyword set;
retrieving according to the target demand keyword set to obtain a target material set;
acquiring title contents of a reference analysis report template to obtain a plurality of title contents;
acquiring a processing parameter corresponding to each title content in the plurality of title contents to obtain a plurality of processing parameter sets;
determining display content corresponding to each title content in the title contents according to the processing parameter sets and the target material set to obtain a plurality of display contents;
and generating a target analysis report according to the display contents and the title contents.
In a second aspect, an embodiment of the present application provides an analysis report generation apparatus, including: a first acquisition unit, a retrieval unit, a second acquisition unit, a third acquisition unit, a determination unit and a generation unit, wherein,
the first acquisition unit is used for acquiring a target demand keyword set;
the retrieval unit is used for retrieving according to the target demand keyword set to obtain a target material set;
the second obtaining unit is used for obtaining the title contents of the reference analysis report template to obtain a plurality of title contents;
the third obtaining unit is configured to obtain a processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets;
the determining unit is configured to determine, according to the plurality of processing parameter sets and the target material set, display content corresponding to each of the plurality of title contents to obtain a plurality of display contents;
the generating unit is used for generating a target analysis report according to the plurality of display contents and the plurality of title contents.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that, in the analysis report generation method, the electronic device, and the related product described in the embodiments of the present application, a target requirement keyword set is obtained, a target material set is obtained by searching according to the target requirement keyword set, a title content of a reference analysis report template is obtained, a plurality of title contents are obtained, a processing parameter corresponding to each title content of the plurality of title contents is obtained, a plurality of processing parameter sets are obtained, a display content corresponding to each title content of the plurality of title contents is determined according to the plurality of processing parameter sets and the target material set, a plurality of display contents are obtained, a target analysis report is generated according to the plurality of display contents and the plurality of title contents, a corresponding material can be selected according to the requirement keyword, a corresponding processing parameter is determined based on the reference analysis report template, a corresponding display content is obtained based on the processing parameter, and an analysis report is generated based on the display content, therefore, the analysis report can be generated quickly, and the generation efficiency of the analysis report can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an analysis report generation method provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating another analysis report generation method provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 4 is a block diagram of functional units of an analysis report generation apparatus according to an embodiment of the present application.
Detailed Description
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may include other steps or elements not listed or inherent to such process, method, article, or apparatus in one possible example.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The electronic device according to the embodiment of the present application may include, but is not limited to: a smart phone, a tablet computer, a smart robot, a vehicle-mounted device, a wearable device, a computing device or other processing device connected to a wireless modem, as well as various forms of User Equipment (UE), a Mobile Station (MS), a terminal device (terminal), and the like, which are not limited herein, the electronic device may also be a server.
Referring to fig. 1, fig. 1 is a schematic flowchart of an analysis report generation method provided in an embodiment of the present application, and as shown in the drawing, the analysis report generation method is applied to an electronic device, and includes:
101. and acquiring a target demand keyword set.
In this embodiment of the present application, the target requirement keyword set may include at least one keyword, and the target requirement keyword set may be used to indicate a field, a function, a structure, a related unit, a time keyword, a location keyword, a price keyword, a group keyword, an icon, and the like of an analysis report that a user needs, and the related unit may be at least one of the following: manufacturers, suppliers, competitors, scientific institutions, schools, etc., without limitation.
In a specific implementation, the target requirement keyword set may be set by a user or default by a system, for example, the extracted keywords may be used as the target keyword set by extracting keywords from related documents, or for example, the user may input the keywords by himself, or for example, the keywords may be extracted by voice, the extracted keywords may be used as the target keyword set, or for example, a picture may be recognized, and the recognized keywords may be used as the target requirement keyword set.
Optionally, in the step 101, acquiring the target keyword set may include the following steps:
11. acquiring a target image;
12. performing character recognition on the target image to obtain a target text;
13. extracting keywords from the target text to obtain x first keywords, wherein x is an integer greater than 1;
14. carrying out icon identification on the target image to obtain Q icons, wherein Q is a natural number;
15. determining a keyword corresponding to each icon in the Q icons according to a preset mapping relation between the icons and the keywords to obtain y second keywords;
16. and taking the x first keywords and the y second keywords as the target demand keyword set.
The target image may be one image or a plurality of images, the target image may be a screenshot or a pre-stored image, or may also be a manuscript image of the user, and a mapping relationship between a preset icon and a keyword may be pre-stored in the electronic device. In the specific implementation, the electronic device can acquire a target image, can also perform character recognition on the target image to obtain a target text, further can perform keyword extraction on the target text to obtain x first keywords, wherein x is an integer greater than 1, and in addition, can perform icon recognition on the target image to obtain Q icons, wherein Q is a natural number, and then according to a mapping relation between preset icons and keywords, keywords corresponding to each icon in the Q icons are determined to obtain y second keywords, and then the x first keywords and the y second keywords are used as a target demand keyword set.
102. And searching according to the target demand keyword set to obtain a target material set.
In a specific implementation, the electronic device may search in a database according to a target demand keyword set to obtain a target material set, where the target material set may include one or more materials, and the database may be a patent database, a web database, a thesis database, and the like, which is not limited herein.
Optionally, in the step 102, retrieving according to the target demand keyword set to obtain the target material set, the method may include the following steps:
21. acquiring target identity information of a target user;
22. determining a target authority level corresponding to the target identity information according to a preset mapping relation between the identity information and the authority level;
23. determining a database identifier corresponding to each demand keyword in the target demand keyword set to obtain at least one database identifier, wherein each database identifier corresponds to one authority level;
24. determining at least one reference database identifier of the at least one database identifier, which is at least equal to the target permission level;
25. and searching the database corresponding to the reference database identification through the target demand keyword set to obtain the target material set.
In this embodiment of the present application, the target identity information may be at least one of the following: a face image, a fingerprint image, a vein image, a palm print image, an iris image, a brain wave signal, a voiceprint signal, a character string, an MAC address, an IP address, a job number, and the like, which are not limited herein. The mapping relationship between the preset identity information and the authority level can be stored in the electronic device in advance, that is, different identities can correspond to different identity levels.
In the specific implementation, the electronic device may obtain target identity information of a target user, determine a target permission level corresponding to the target identity information according to a mapping relationship between preset identity information and permission levels, determine a database identifier corresponding to each demand keyword in a target demand keyword set, obtain at least one database identifier, each database identifier corresponding to a permission level, further determine a reference database identifier at least corresponding to the target permission level in the at least one database identifier, search a database corresponding to the reference database identifier through the target demand keyword set, obtain a target material set, that is, the user may determine a corresponding database identifier based on the permission level of the user, perform retrieval based on the database identifier matched with the user identity, on one hand, may ensure security of data content, on the other hand, corresponding services can be provided based on user rights, for example, the member benefits can be guaranteed when the database corresponding to the member is different from the database corresponding to the non-member.
Further, in the step 25, searching the database corresponding to the reference database identifier through the target demand keyword set to obtain the target material set, the method may include the following steps:
251. searching a database corresponding to the reference database identification through the target demand keyword set to obtain P search results, wherein P is a positive integer;
252. determining the importance of each keyword in the target demand keyword set to obtain a plurality of importance;
253. selecting a keyword corresponding to the maximum value in the importance degrees to obtain a target keyword;
254. determining the association degree between each search result in the P search results and the target keyword to obtain P association degrees;
255. determining the relevance greater than a preset threshold value from the P relevance, and acquiring corresponding search results to obtain Q reference search results, wherein Q is a positive integer not greater than P;
256. sorting the Q reference search results according to the sequence of the relevance degrees from large to small to obtain the Q sorted reference search results;
257. acquiring target space parameters corresponding to the reference analysis report template;
258. determining the target search result quantity corresponding to the target space parameter according to the mapping relation between the preset space parameter and the search result quantity;
259. and selecting the search results with the number of the top target search results from the Q sorted reference search results as the target material set.
In a specific implementation, the keyword may be at least one of the following: character strings, icons, calculation formulas, chinese characters, etc., without limitation. The preset threshold may be set by the user or by default. The electronic device may pre-store a mapping relationship between preset space parameters and the number of search results, where the space parameters may be word number, line number, length, page number, and the like, and are not limited herein.
Specifically, the electronic device may search the database corresponding to the reference database identifier through the target demand keyword set to obtain P search results, where P is a positive integer, the electronic device may pre-store a mapping relationship between the keywords and the importance degrees, and further may determine the importance degree of each keyword in the target demand keyword set according to the mapping relationship to obtain a plurality of importance degrees, select the keyword corresponding to the maximum value of the plurality of importance degrees to obtain the target keyword, determine the association degree between each search result in the P search results and the target keyword to obtain P association degrees,
furthermore, the electronic device may determine, from the P relevance degrees, a relevance degree greater than a preset threshold value, obtain corresponding search results, obtain Q reference search results, where Q is a positive integer not greater than P, sort the Q reference search results according to a descending order of the relevance degrees, obtain the Q sorted reference search results, further obtain target space parameters corresponding to the reference analysis report template, determine the number of target search results corresponding to the target space parameters according to a mapping relationship between the preset space parameters and the number of search results, and further select, from the Q sorted reference search results, the top number of search results as a target material set.
Optionally, in the step 254, determining a relevance between each of the P search results and the target keyword to obtain P relevance, which may include the following steps:
2541. determining the occurrence times of the target keywords in the search result a and the length of the space of the search result a, wherein the search result a is any one of the P search results;
2542. and determining the corresponding relevance of the search result a according to the times and the length of the space.
In a specific implementation, taking the search result a as an example, where the search result a is any one of the P search results, the electronic device may determine the number of times of occurrence of the target keyword in the search result a and the length of the space of the search result a, and then determine the association degree corresponding to the search result a according to the number of times and the length of the space, that is, the association degree is the number of times/the length of the space.
Optionally, in the step 251, searching the database corresponding to the reference database identifier through the target requirement keyword set to obtain P search results, which includes the following steps:
2511. determining the target complexity corresponding to the target demand keyword set;
2512. and determining a target search algorithm control parameter corresponding to the target complexity, and searching the database corresponding to the reference database identifier according to the target search algorithm control parameter and the target demand keyword set to obtain P search results.
In the specific implementation, the electronic device may pre-store a mapping relationship between the complexity and a search algorithm control parameter, the search algorithm control parameter may include a search algorithm and a control parameter corresponding to the search algorithm, the control parameter is used to control the search accuracy and speed of the algorithm, specifically, the electronic device may determine a target complexity corresponding to a target demand keyword set, determine a target search algorithm control parameter corresponding to the target complexity, and search a database corresponding to a reference database identifier according to the target search algorithm control parameter and the target demand keyword set to obtain P search results, so that a suitable search algorithm may be selected according to the keyword complexity, thereby contributing to improvement of search efficiency.
Optionally, the target requirement keyword set includes a plurality of characters, and the step 2511 of determining the target complexity corresponding to the target requirement keyword set may include the following steps:
a1, determining a first length of the characters;
a2, determining a target first complexity evaluation value corresponding to a first length according to a first mapping relation between the preset length and the first complexity evaluation value;
a3, determining the type number of the character types in the characters to obtain the target type number;
a4, determining a target first complexity evaluation factor corresponding to the target type number according to a second mapping relation between the preset type number and the first complexity evaluation factor;
a5, determining a second complexity evaluation value corresponding to the character type of each character in the characters according to a third mapping relation between a preset character type and the second complexity evaluation value, and obtaining a plurality of second complexity evaluation values;
a6, determining a weight value corresponding to each type of character in the plurality of characters to obtain at least one weight value;
a7, performing weighting operation according to the plurality of second complexity evaluation values and the at least one weight value to obtain a reference second complexity evaluation value;
a8, determining a target second complexity evaluation factor corresponding to the reference second complexity evaluation value according to a fourth mapping relation between a preset second complexity evaluation value and the second complexity evaluation factor;
and A9, adjusting the first complexity evaluation value according to the target first complexity evaluation factor and the target second complexity evaluation factor to obtain the target complexity.
In the embodiment of the present application, a first mapping relationship between a preset length and a first complexity evaluation value, a second mapping relationship between a preset number of types and a first complexity evaluation factor, a mapping relationship between a preset character type and a second complexity evaluation value, and a fourth mapping relationship between a preset second complexity evaluation value and a second complexity evaluation factor may be stored in the electronic device in advance. The value ranges of the first complexity evaluation factor and the second complexity evaluation factor can be both 0-1. The character type may be at least one of: numbers, lower case letters, upper case letters, punctuation marks, operator symbols, etc., without limitation.
In a specific implementation, the electronic device may determine first lengths of a plurality of characters, and then determine a target first complexity evaluation value corresponding to the first length according to a first mapping relationship between a preset length and the first complexity evaluation value, where the longer a character is, the higher the complexity is. Of course, the type of the character also affects the complexity, and further, the electronic device may determine the type number of the character types in the plurality of characters to obtain the target type number, and then determine the target first complexity evaluation factor corresponding to the target type number according to the second mapping relationship between the preset type number and the first complexity evaluation factor, in addition, the occupation ratios of different types of characters also influence the complexity, and further, the electronic device may determine, according to a third mapping relationship between a preset character type and a second complexity evaluation value, a second complexity evaluation value corresponding to the character type of each of the plurality of characters to obtain a plurality of second complexity evaluation values, and then determine a weight value corresponding to each of the plurality of characters to obtain at least one weight value, where the weight value may be the number/target length of each type of characters. Then, the electronic device may perform a weighting operation according to the plurality of second complexity evaluation values and the at least one weight value to obtain a reference second complexity evaluation value, that is, each character and its corresponding weight value are subjected to a weighting operation.
Further, the electronic device may determine a target second complexity evaluation factor corresponding to the reference second complexity evaluation value according to a fourth mapping relationship between a preset second complexity evaluation value and the second complexity evaluation factor, and finally, the electronic device may adjust the target first complexity evaluation value according to the target first complexity evaluation factor and the target second complexity evaluation factor to obtain the target complexity, where a specific calculation formula is as follows:
target complexity ═ target first complexity evaluation value ═ 1+ target first complexity evaluation factor ++ (1+ target second complexity evaluation factor)
In this way, the complexity of the character string can be determined comprehensively from the length of the character string, the type of the character type contained in the character string, and the specific gravity corresponding to each type of character.
103. And acquiring the title content of the reference analysis report template to obtain a plurality of title contents.
In a specific implementation, in this embodiment of the present application, the reference analysis report template may be an analysis report template for a specific field, different reference analysis report templates may correspond to different title contents, material contents corresponding to each title content may be different, the specific field may be set by a user or default by a system, and the specific field may be at least one of the following: patent analysis, economic analysis, demographic survey, market survey, plant growth, athletic data analysis, sleep data analysis, and the like, without limitation, for example, the reference analysis report template may be a patent analysis report template. In specific implementation, the electronic device may determine keywords in the target demand keyword set, where the keywords are used for representing the field, and the keywords used for representing the field may be selected by a user, or may be identified to obtain the keywords of the type, and then determine a reference analysis report template corresponding to the keywords representing the field according to a mapping relationship between preset field keywords and an analysis report template.
104. And acquiring a processing parameter corresponding to each title content in the plurality of title contents to obtain a plurality of processing parameter sets.
In a specific implementation, different title contents may correspond to different processing parameters, and the processing parameters may be used to implement at least one of the following: keyword extraction, chart generation, sorting function, abstract extraction, material concatenation function, etc., which are not limited herein.
Optionally, in the step 104, obtaining the processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets, may include the following steps:
41. acquiring a target title identifier and a target identifier grade of a title content i, wherein the title content i is any one of the title contents;
42. determining a target reference processing parameter set corresponding to the target title identifier according to a mapping relation between preset title content and the reference processing parameter set, wherein the target reference processing parameter set comprises a plurality of reference processing parameters, and each reference processing parameter corresponds to a processing parameter grade;
43. determining a target processing parameter grade corresponding to the target identification grade according to a mapping relation between a preset identification grade and a processing parameter grade;
44. and screening the plurality of reference processing parameters according to the target processing parameter grade to obtain a processing parameter set corresponding to the title content i.
In a specific implementation, the electronic device may store in advance a mapping relationship between a preset title content and a reference processing parameter set, and a mapping relationship between a preset identification level and a processing parameter level.
Specifically, taking the title content i as an example, the title content i is any one of a plurality of title contents. The electronic device may obtain a target title identifier and a target identifier level of the title content i, determine a target reference processing parameter set corresponding to the target title identifier according to a preset mapping relationship between the title content and the reference processing parameter set, the target reference processing parameter set may include a plurality of reference processing parameters, each reference processing parameter corresponding to a processing parameter level, and then determining a target processing parameter level corresponding to a target identification level according to a mapping relationship between a preset identification level and a processing parameter level, and finally, the reference processing parameters may be filtered according to the target processing parameter level to obtain a processing parameter set corresponding to the title content i, corresponding processing parameters can be selected according to the identification levels of the titles, and then material content processing is achieved according to the processing parameters, so that rapid content filling of each title (section) is achieved rapidly.
105. And determining the display content corresponding to each title content in the plurality of title contents according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents.
In the concrete implementation, different title contents can correspond to different materials, different functions can be realized by different processing parameter sets, for an analysis report template, different sections of the analysis report template have different contents to be displayed, and further, the corresponding materials are different, and the effects to be achieved by the processing parameters are different, so that different processes or threads can be allocated for different title contents, and thus, different sections can synchronously generate corresponding display contents, and further, the analysis report presentation efficiency is favorably improved.
Optionally, in step 105, determining, according to the plurality of processing parameter sets and the target material set, display content corresponding to each of the plurality of title contents to obtain a plurality of display contents, may include the following steps:
51. determining a first reference material corresponding to a title content j from the target material set, wherein the title content j is any one of the title contents;
52. dividing the processing parameter set corresponding to the title content j into a first type of processing parameters and a second type of processing parameters, wherein the first type of processing parameters are used for realizing data screening, and the second type of processing parameters are used for realizing data conversion;
53. screening the first reference material through the first type of processing parameters to obtain a second reference material;
54. and processing the second reference material according to the second type of processing parameters to obtain the display content.
In a specific implementation, taking the title content j as an example, the title content j is any one of a plurality of title contents, the electronic device may determine a first reference material corresponding to the title content j from a target material set, and then divide a processing parameter set corresponding to the title content j into a first type of processing parameter and a second type of processing parameter, where the first type of processing parameter is used to implement data screening and screen out a strongly related material, or convert the material into an abstract, or convert the material into a specific numerical value, and the second type of processing parameter is used to implement data conversion, for example, convert the data into a graph or a formula, screen the first reference material through the first type of processing parameter to obtain a second reference material, and then process the second reference material according to the second type of processing parameter to obtain a display content, on one hand, may divide the processing parameter data into two types, one for data filtering, one for data transformation, and so on, and other title contents may refer to the above manner to generate corresponding presentation contents.
106. And generating a target analysis report according to the display contents and the title contents.
In a specific implementation, taking a fingerprint patent analysis report as an example, the target requirement keyword set may include: fingerprint, beneficial effect, fingerprint module structure, function etc. can retrieve based on this target demand keyword set, obtain the target material set, again based on target material set generation fingerprint patent analysis report, can be according to the sequence of arranging of title content, show a plurality of show contents in the position that the title content corresponds, obtain the target analysis report, and of course, the user can also adjust this analysis report to accord with user's individualized demand.
It can be seen that, in the analysis report generation method described in the embodiment of the present application, a target demand keyword set is obtained, a search is performed according to the target demand keyword set to obtain a target material set, a header content of a reference analysis report template is obtained to obtain a plurality of header contents, a processing parameter corresponding to each of the plurality of header contents is obtained to obtain a plurality of processing parameter sets, a display content corresponding to each of the plurality of header contents is determined according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents, a target analysis report is generated according to the plurality of display contents and the plurality of header contents, a corresponding material can be selected according to the demand keyword, a corresponding processing parameter is determined based on the reference analysis report template, a corresponding display content is obtained based on the processing parameter, and an analysis report is generated based on the display content, therefore, the analysis report can be generated quickly, and the generation efficiency of the analysis report can be improved.
Referring to fig. 2, fig. 2 is a schematic flowchart of an analysis report generation method provided in an embodiment of the present application, and the analysis report generation method is applied to an electronic device, and includes:
201. and acquiring a target demand keyword set.
202. And searching according to the target demand keyword set to obtain a target material set.
203. And determining target keywords in the target requirement keyword set, wherein the target keywords are used for expressing the field of the required analysis report.
204. And acquiring the title content of the reference analysis report template corresponding to the target keyword to obtain a plurality of title contents.
205. And acquiring a processing parameter corresponding to each title content in the plurality of title contents to obtain a plurality of processing parameter sets.
206. And determining the display content corresponding to each title content in the plurality of title contents according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents.
207. And generating a target analysis report according to the display contents and the title contents.
The detailed description of steps 201 to 207 may refer to the corresponding steps of the analysis report generation method described in fig. 1, and will not be described herein again.
It can be seen that, in the analysis report generation method described in the embodiment of the present application, a target demand keyword set is obtained, a search is performed according to the target demand keyword set to obtain a target material set, a target keyword in the target demand keyword set is determined, the target keyword is used to represent a field of a required analysis report, a header content of a reference analysis report template corresponding to the target keyword is obtained to obtain a plurality of header contents, a processing parameter corresponding to each header content in the plurality of header contents is obtained to obtain a plurality of processing parameter sets, a display content corresponding to each header content in the plurality of header contents is determined according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents, a target analysis report is generated according to the plurality of display contents and the plurality of header contents, a corresponding material can be selected according to the demand keyword, and a corresponding processing parameter is determined based on the reference analysis report template, corresponding display content is obtained based on the processing parameters, and then an analysis report is generated based on the display content, so that the analysis report can be generated quickly, and the generation efficiency of the analysis report can be improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in the drawing, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the programs include instructions for performing the following steps:
acquiring a target demand keyword set;
retrieving according to the target demand keyword set to obtain a target material set;
acquiring title contents of a reference analysis report template to obtain a plurality of title contents;
acquiring a processing parameter corresponding to each title content in the plurality of title contents to obtain a plurality of processing parameter sets;
determining display content corresponding to each title content in the title contents according to the processing parameter sets and the target material set to obtain a plurality of display contents;
and generating a target analysis report according to the display contents and the title contents.
It can be seen that, in the electronic device described in the embodiment of the present application, a target requirement keyword set is obtained, a search is performed according to the target requirement keyword set to obtain a target material set, a header content of a reference analysis report template is obtained to obtain a plurality of header contents, a processing parameter corresponding to each of the plurality of header contents is obtained to obtain a plurality of processing parameter sets, a display content corresponding to each of the plurality of header contents is determined according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents, a target analysis report is generated according to the plurality of display contents and the plurality of header contents, a corresponding material can be selected according to the requirement keyword, a corresponding processing parameter is determined based on the reference analysis report template, a corresponding display content is obtained based on the processing parameter, and an analysis report is generated based on the display content, so, the analysis report can be generated quickly, and the generation efficiency of the analysis report can be improved.
Optionally, in the aspect of obtaining the processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets, the program includes an instruction for executing the following steps:
acquiring a target title identifier and a target identifier grade of a title content i, wherein the title content i is any one of the title contents;
determining a target reference processing parameter set corresponding to the target title identifier according to a mapping relation between preset title content and the reference processing parameter set, wherein the target reference processing parameter set comprises a plurality of reference processing parameters, and each reference processing parameter corresponds to a processing parameter grade;
determining a target processing parameter grade corresponding to the target identification grade according to a mapping relation between a preset identification grade and a processing parameter grade;
and screening the plurality of reference processing parameters according to the target processing parameter grade to obtain a processing parameter set corresponding to the title content i.
Optionally, in the aspect that the display content corresponding to each of the plurality of title contents is determined according to the plurality of processing parameter sets and the target material set, so as to obtain a plurality of display contents, the program includes instructions for performing the following steps:
determining a first reference material corresponding to a title content j from the target material set, wherein the title content j is any one of the title contents;
dividing the processing parameter set corresponding to the title content j into a first type of processing parameters and a second type of processing parameters, wherein the first type of processing parameters are used for realizing data screening, and the second type of processing parameters are used for realizing data conversion;
screening the first reference material through the first type of processing parameters to obtain a second reference material;
and processing the second reference material according to the second type of processing parameters to obtain the display content.
Optionally, in the aspect of obtaining the target material set by retrieving according to the target demand keyword set, the program includes instructions for executing the following steps:
acquiring target identity information of a target user;
determining a target authority level corresponding to the target identity information according to a preset mapping relation between the identity information and the authority level;
determining a database identifier corresponding to each demand keyword in the target demand keyword set to obtain at least one database identifier, wherein each database identifier corresponds to one authority level;
determining at least one reference database identifier of the at least one database identifier, which is at least equal to the target permission level;
and searching the database corresponding to the reference database identification through the target demand keyword set to obtain the target material set.
Optionally, in the aspect that the database corresponding to the reference database identifier is searched through the target demand keyword set to obtain the target material set, the program includes instructions for executing the following steps:
searching a database corresponding to the reference database identification through the target demand keyword set to obtain P search results, wherein P is a positive integer;
determining the importance of each keyword in the target demand keyword set to obtain a plurality of importance;
selecting a keyword corresponding to the maximum value in the importance degrees to obtain a target keyword;
determining the association degree between each search result in the P search results and the target keyword to obtain P association degrees;
determining the relevance greater than a preset threshold value from the P relevance, and acquiring corresponding search results to obtain Q reference search results, wherein Q is a positive integer not greater than P;
sorting the Q reference search results according to the sequence of the relevance degrees from large to small to obtain the Q sorted reference search results;
acquiring target space parameters corresponding to the reference analysis report template;
determining the target search result quantity corresponding to the target space parameter according to the mapping relation between the preset space parameter and the search result quantity;
and selecting the search results with the number of the top target search results from the Q sorted reference search results as the target material set.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that in order to implement the above functions, it includes corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware 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 application.
In the embodiment of the present application, the functional units may be divided according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4 is a block diagram of functional units of an analysis report generation apparatus 400 according to an embodiment of the present application, where the apparatus 400 includes: a first acquisition unit 401, a retrieval unit 402, a second acquisition unit 403, a third acquisition unit 404, a determination unit 405, and a generation unit 406, wherein,
the first obtaining unit 401 is configured to obtain a target demand keyword set;
the retrieval unit 402 is configured to perform retrieval according to the target demand keyword set to obtain a target material set;
the second obtaining unit 403 is configured to obtain the title content of the reference analysis report template, so as to obtain a plurality of title contents;
the third obtaining unit 404 is configured to obtain a processing parameter corresponding to each of the plurality of title contents, so as to obtain a plurality of processing parameter sets;
the determining unit 405 is configured to determine, according to the plurality of processing parameter sets and the target material set, display content corresponding to each of the plurality of title contents, so as to obtain a plurality of display contents;
the generating unit 406 is configured to generate a target analysis report according to the multiple display contents and the multiple title contents.
It can be seen that the analysis report generation apparatus described in the embodiment of the present application obtains a target demand keyword set, performs retrieval according to the target demand keyword set to obtain a target material set, obtains a title content of a reference analysis report template to obtain a plurality of title contents, obtains a processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets, determines a display content corresponding to each of the plurality of title contents according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents, generates a target analysis report according to the plurality of display contents and the plurality of title contents, can select a corresponding material according to the demand keyword, determines a corresponding processing parameter based on the reference analysis report template, obtains a corresponding display content based on the processing parameter, and generates an analysis report based on the display content, therefore, the analysis report can be generated quickly, and the generation efficiency of the analysis report can be improved.
Optionally, in the aspect of obtaining the processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets, the third obtaining unit 404 is specifically configured to:
acquiring a target title identifier and a target identifier grade of a title content i, wherein the title content i is any one of the title contents;
determining a target reference processing parameter set corresponding to the target title identifier according to a mapping relation between preset title content and the reference processing parameter set, wherein the target reference processing parameter set comprises a plurality of reference processing parameters, and each reference processing parameter corresponds to a processing parameter grade;
determining a target processing parameter grade corresponding to the target identification grade according to a mapping relation between a preset identification grade and a processing parameter grade;
and screening the plurality of reference processing parameters according to the target processing parameter grade to obtain a processing parameter set corresponding to the title content i.
Optionally, in the aspect that the display content corresponding to each of the plurality of title contents is determined according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents, the determining unit 405 is specifically configured to:
determining a first reference material corresponding to a title content j from the target material set, wherein the title content j is any one of the title contents;
dividing the processing parameter set corresponding to the title content j into a first type of processing parameters and a second type of processing parameters, wherein the first type of processing parameters are used for realizing data screening, and the second type of processing parameters are used for realizing data conversion;
screening the first reference material through the first type of processing parameters to obtain a second reference material;
and processing the second reference material according to the second type of processing parameters to obtain the display content.
Optionally, in the aspect of retrieving according to the target demand keyword set to obtain a target material set, the retrieving unit 402 is specifically configured to:
acquiring target identity information of a target user;
determining a target authority level corresponding to the target identity information according to a preset mapping relation between the identity information and the authority level;
determining a database identifier corresponding to each demand keyword in the target demand keyword set to obtain at least one database identifier, wherein each database identifier corresponds to one authority level;
determining at least one reference database identifier of the at least one database identifier, which is at least equal to the target permission level;
and searching the database corresponding to the reference database identification through the target demand keyword set to obtain the target material set.
Optionally, in the aspect that the database corresponding to the reference database identifier is searched through the target demand keyword set to obtain the target material set, the retrieving unit 402 is specifically configured to:
searching a database corresponding to the reference database identification through the target demand keyword set to obtain P search results, wherein P is a positive integer;
determining the importance of each keyword in the target demand keyword set to obtain a plurality of importance;
selecting a keyword corresponding to the maximum value in the importance degrees to obtain a target keyword;
determining the association degree between each search result in the P search results and the target keyword to obtain P association degrees;
determining the relevance greater than a preset threshold value from the P relevance, and acquiring corresponding search results to obtain Q reference search results, wherein Q is a positive integer not greater than P;
sorting the Q reference search results according to the sequence of the relevance degrees from large to small to obtain the Q sorted reference search results;
acquiring target space parameters corresponding to the reference analysis report template;
determining the target search result quantity corresponding to the target space parameter according to the mapping relation between the preset space parameter and the search result quantity;
and selecting the search results with the number of the top target search results from the Q sorted reference search results as the target material set.
It can be understood that the functions of each program module of the analysis report generation apparatus in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. An analysis report generation method, the method comprising:
acquiring a target demand keyword set;
retrieving according to the target demand keyword set to obtain a target material set;
acquiring title contents of a reference analysis report template to obtain a plurality of title contents;
acquiring a processing parameter corresponding to each title content in the plurality of title contents to obtain a plurality of processing parameter sets;
determining display content corresponding to each title content in the plurality of title contents according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents;
and generating a target analysis report according to the display contents and the title contents.
2. The method of claim 1, wherein the obtaining the processing parameters corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets comprises:
acquiring a target title identifier and a target identifier grade of a title content i, wherein the title content i is any one of the title contents;
determining a target reference processing parameter set corresponding to the target title identifier according to a mapping relation between preset title content and the reference processing parameter set, wherein the target reference processing parameter set comprises a plurality of reference processing parameters, and each reference processing parameter corresponds to a processing parameter grade;
determining a target processing parameter grade corresponding to the target identification grade according to a mapping relation between a preset identification grade and a processing parameter grade;
and screening the plurality of reference processing parameters according to the target processing parameter grade to obtain a processing parameter set corresponding to the title content i.
3. The method of claim 2, wherein the determining the display content corresponding to each of the plurality of title contents according to the plurality of processing parameter sets and the target material set to obtain a plurality of display contents comprises:
determining a first reference material corresponding to a title content j from the target material set, wherein the title content j is any one of the title contents;
dividing the processing parameter set corresponding to the title content j into a first type of processing parameters and a second type of processing parameters, wherein the first type of processing parameters are used for realizing data screening, and the second type of processing parameters are used for realizing data conversion;
screening the first reference material through the first type of processing parameters to obtain a second reference material;
and processing the second reference material according to the second type of processing parameters to obtain the display content.
4. The method according to any one of claims 1-3, wherein the retrieving according to the target demand keyword set to obtain a target material set comprises:
acquiring target identity information of a target user;
determining a target authority level corresponding to the target identity information according to a preset mapping relation between the identity information and the authority level;
determining a database identifier corresponding to each demand keyword in the target demand keyword set to obtain at least one database identifier, wherein each database identifier corresponds to one authority level;
determining at least one reference database identifier of the at least one database identifier, which is at least equal to the target permission level;
and searching the database corresponding to the reference database identification through the target demand keyword set to obtain the target material set.
5. The method of claim 4,
the searching the database corresponding to the reference database identifier through the target demand keyword set to obtain the target material set includes:
searching a database corresponding to the reference database identification through the target demand keyword set to obtain P search results, wherein P is a positive integer;
determining the importance of each keyword in the target demand keyword set to obtain a plurality of importance;
selecting a keyword corresponding to the maximum value in the importance degrees to obtain a target keyword;
determining the association degree between each search result in the P search results and the target keyword to obtain P association degrees;
determining the relevance greater than a preset threshold value from the P relevance, and acquiring corresponding search results to obtain Q reference search results, wherein Q is a positive integer not greater than P;
sorting the Q reference search results according to the sequence of the relevance degrees from large to small to obtain the Q sorted reference search results;
acquiring target space parameters corresponding to the reference analysis report template;
determining the target search result quantity corresponding to the target space parameter according to the mapping relation between the preset space parameter and the search result quantity;
and selecting the search results with the number of the top target search results from the Q sorted reference search results as the target material set.
6. An analysis report generation apparatus, characterized in that the apparatus comprises: a first acquisition unit, a retrieval unit, a second acquisition unit, a third acquisition unit, a determination unit and a generation unit, wherein,
the first acquisition unit is used for acquiring a target demand keyword set;
the retrieval unit is used for retrieving according to the target demand keyword set to obtain a target material set;
the second acquisition unit is used for acquiring the title content of the reference analysis report template to obtain a plurality of title contents;
the third obtaining unit is configured to obtain a processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets;
the determining unit is configured to determine, according to the plurality of processing parameter sets and the target material set, display content corresponding to each of the plurality of title contents to obtain a plurality of display contents;
the generating unit is used for generating a target analysis report according to the plurality of display contents and the plurality of title contents.
7. The apparatus according to claim 6, wherein, in said obtaining the processing parameter corresponding to each of the plurality of title contents to obtain a plurality of processing parameter sets, the third obtaining unit is specifically configured to:
acquiring a target title identifier and a target identifier grade of a title content i, wherein the title content i is any one of the title contents;
determining a target reference processing parameter set corresponding to the target title identifier according to a mapping relation between preset title content and the reference processing parameter set, wherein the target reference processing parameter set comprises a plurality of reference processing parameters, and each reference processing parameter corresponds to a processing parameter grade;
determining a target processing parameter grade corresponding to the target identification grade according to a mapping relation between a preset identification grade and a processing parameter grade;
and screening the plurality of reference processing parameters according to the target processing parameter grade to obtain a processing parameter set corresponding to the title content i.
8. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
9. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
10. A computer program product, characterized in that the computer program product causes a computer to perform the method according to any of claims 1-5.
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| US8782081B2 (en) * | 2011-05-11 | 2014-07-15 | Google Inc. | Query template definition and transformation |
| US20190019129A1 (en) * | 2017-07-14 | 2019-01-17 | Avnet, Inc. | Computer software platform for supply chain |
| CN108564997A (en) * | 2018-04-19 | 2018-09-21 | 北京深度智耀科技有限公司 | A kind of Clinical Report generation method and device |
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