CN113553812A - News processing method and device combining RPA and AI - Google Patents
News processing method and device combining RPA and AI Download PDFInfo
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- G06F40/166—Editing, e.g. inserting or deleting
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Abstract
The embodiment of the application discloses a news processing method and a device combining RPA and AI, wherein the news processing method combining RPA and AI comprises the following steps: acquiring news related to a preset theme from a preset website based on Natural Language Processing (NLP); extracting information of a preset field from the news based on natural language processing NLP to obtain target news content; and generating a local document according to the target news content. By adopting the technical scheme, the RPA robot automatically acquires news related to the preset theme from the preset website based on natural language processing NLP, automatically edits news content, generates local documents, does not need manual participation, greatly saves the working time of responsible personnel, and has high efficiency, high instantaneity and low error rate.
Description
Technical Field
The present application relates to the technical field of Robot Process Automation (RPA) and Artificial Intelligence (AI), and in particular, to a news processing method and apparatus combining RPA and AI.
Background
Robot Process Automation (RPA) is a Process task that simulates human operations on a computer by specific "robot software" and executes automatically according to rules.
Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence.
The RPA and AI technology has the advantages of high automation degree, high accuracy and low cost. With the wide application of RPA robots, more and more human work is taken over by RPA robots. The artificial intelligence technology is used to help enterprises or organizations to know about relevant dynamic or consulting news, and is a problem to be solved urgently for the enterprises or organizations.
In the related technology, each enterprise or organization needs a specially-assigned person to manually copy, adjust and fill the news into the internal system of each enterprise or organization, and the manual operation carries out a large amount of repetitive operations, which takes a large amount of time, and has low efficiency, poor timeliness and high error rate.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the first objective of the present application is to provide a news processing method combining RPA and AI, which does not require human intervention, greatly saves the working time of responsible personnel, and has high efficiency, high instantaneity and low error rate.
A second object of the present application is to propose a news processing apparatus combining RPA and AI.
A third object of the present application is to propose a computing device.
A fourth object of the present application is to propose a computer readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present application provides a news processing method combining RPA and AI, including: acquiring news related to a preset theme from a preset website based on Natural Language Processing (NLP); extracting information of a preset field from the news based on natural language processing NLP to obtain target news content; and generating a local document according to the target news content.
According to the news processing method combining the RPA and the AI, news related to a preset theme is obtained from a preset website based on the natural language processing NLP, information of a preset field is extracted from the news based on the natural language processing NLP to obtain target news content, and a local document is generated according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, and automatically edits news content to generate a local document, without manual participation, thereby greatly saving working time of responsible personnel, and having high efficiency, high instantaneity and low error rate.
According to an embodiment of the present application, the news processing method further includes: filling in a user system according to the local document to generate news to be published; releasing the news to be released to a preset position to be released; and sending audit reminding information to the user.
According to an embodiment of the application, the generating a local document according to the target news content includes: judging whether the target news content contains pictures or not based on Optical Character Recognition (OCR); if the target news content does not contain the picture, opening office software, and performing first regularization processing on the target news content to generate the local document; and if the target news content contains the pictures, opening office software, and performing second normalization processing and image-text coding processing on the target news content to generate the local document.
According to one embodiment of the application, the first warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, and format; the first warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, format, picture format, and picture size.
According to one embodiment of the application, the teletext coding process comprises: and converting the text content in the graphic and text format in the target news content into a preset code.
According to an embodiment of the application, the preset field includes any one or more of: main title, subtitle, source, date, text content, text, author, and link.
According to one embodiment of the present application, the system for filling out a user according to the local document includes: if the local document does not include a preset code, filling the user system according to the local document and the preset field to generate the news to be published; and if the local document comprises the preset code, filling the user system according to the local document and a target preset field in the preset field, and importing the preset code into text content to generate the text content in a picture-text format, wherein the preset field comprises the text content and the target preset field.
To achieve the above object, a second embodiment of the present application provides a news processing apparatus combining RPA and AI, including: the acquisition module is used for acquiring news related to a preset theme from a preset website based on Natural Language Processing (NLP); the extraction module is used for extracting information of a preset field from the news by natural language processing NLP to obtain target news content; and the generating module is used for generating a local document according to the target news content.
The news processing device combining the RPA and the AI, provided by the embodiment of the application, acquires news related to a preset theme from a preset website based on the natural language processing NLP, extracts information of a preset field from the news based on the natural language processing NLP to obtain target news content, and generates a local document according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, and automatically edits news content to generate a local document, without manual participation, thereby greatly saving working time of responsible personnel, and having high efficiency, high instantaneity and low error rate.
According to an embodiment of the present application, the news processing apparatus further includes: the filling module is used for filling the user system according to the local document to generate news to be published; the release module is used for releasing the news to be released to a preset position to be released; and the sending module is used for sending the audit reminding information to the user.
According to one embodiment of the application, the generating module comprises: the judging unit is used for judging whether the target news content contains pictures or not based on Optical Character Recognition (OCR); the first generation unit is used for opening office software if the target news content does not contain pictures, and performing first regularization processing on the target news content to generate the local document; and the second generation unit is used for opening office software when the target news content contains pictures, performing second regularization processing and picture-text coding processing on the target news content, and generating the local document.
According to one embodiment of the application, the first warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, and format; the first warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, format, picture format, and picture size.
According to one embodiment of the application, the teletext coding process comprises: and converting the text content in the graphic and text format in the target news content into a preset code.
According to an embodiment of the application, the preset field includes any one or more of: main title, subtitle, source, date, text content, text, author, and link.
According to one embodiment of the application, the filling module comprises: if the local document does not include a preset code, filling the user system according to the local document and the preset field to generate the news to be published; and if the local document comprises the preset code, filling the user system according to the local document and a target preset field in the preset field, and importing the preset code into text content to generate the text content in a picture-text format, wherein the preset field comprises the text content and the target preset field.
To achieve the above object, a third aspect of the present application provides a computing device, including: a memory storing executable program code; a processor coupled with the memory; the processor calls the executable program code stored in the memory to execute the news processing method combining the RPA and the AI according to the embodiment of the first aspect of the present application.
To achieve the above object, a fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a news processing method combining RPA and AI as described in the first aspect of the present application.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are mostly needed to be used in the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some of the embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a news processing method combining RPA and AI according to an embodiment of the present disclosure;
fig. 2 is an exemplary diagram of news obtained by a news processing method combining RPA and AI according to an embodiment of the present application;
fig. 3 is a flowchart of another news processing method combining RPA and AI according to an embodiment of the present disclosure;
fig. 4 is a user system filling interface diagram in a news processing method combining RPA and AI according to an embodiment of the present application;
fig. 5 is a flowchart of another news processing method combining RPA and AI according to an embodiment of the present disclosure;
fig. 6 is a flowchart of another news processing method combining RPA and AI according to an embodiment of the present disclosure;
fig. 7 is an overall flowchart of a news processing method combining RPA and AI according to an embodiment of the present application;
fig. 8 is a schematic diagram of another news processing apparatus that combines RPA and AI according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a news processing method and system in combination with RPA and AI according to an embodiment of the present application with reference to the drawings.
Fig. 1 is a flowchart of a news processing method combining RPA and AI according to an embodiment of the present application, and as shown in fig. 1, the news processing method combining RPA and AI includes the following steps:
s101, news related to a preset theme is obtained from a preset website based on Natural Language Processing (NLP).
The main body of the news processing method combining the RPA and the AI according to the embodiment of the present application may be the news processing device combining the RPA and the AI according to the embodiment of the present application, and the above news processing device combining the RPA and the AI may be configured in an RPA system of any electronic device to perform the news processing method combining the RPA and the AI according to the embodiment of the present application. Optionally, the RPA system may include an RPA robot. RPA is a software robot and artificial intelligence based business process automation technology. The RPA robot can intelligently understand the existing application of an enterprise through a user use interface, automatically and repeatedly read mails, Office components, an operation database, webpages, client software and the like based on rules, collect data, perform complicated calculation, generate files and reports in large batch, and complete boring work such as file inspection. The input of labor cost can be greatly reduced, the existing office efficiency is effectively improved, and the work is accurately, stably and quickly finished. In the embodiment of the application, the RPA robot can intelligently understand the user system through the user interface, automatically log in the user system according to the login user information provided by the user, and open related news information, dynamic pages and other pages.
In the embodiment of the present application, the RPA robot automatically obtains news related to a preset topic from a preset website based on Natural Language Processing (NLP). The preset websites may include, but are not limited to, websites such as "people network", "news network", and the preset topics may include, but are not limited to, party constructions, current affairs, and the like.
S102, extracting information of preset fields from news based on natural language processing NLP to obtain target news content.
In the embodiment of the application, the RPA robot intelligently and automatically extracts information of a preset field from news related to a preset topic acquired in step S101 based on natural language processing NLP, so as to obtain target news content. The preset field information may specifically include, but is not limited to, a main title, a sub-title, a source, a date, content, text, a picture, an author, a link, and the like of news.
For example, as shown in fig. 2, after the RPA robot acquires the news, the RPA robot classifies the contents in the news according to the topic, source, date, content, characters, author, and link, extracts the information of the related classified title contents, and removes the information such as "people's daily news" (2021, 06, 08, 04 th edition) "that the user does not pay attention to, thereby forming the cleaned data, i.e., the target news content.
And S103, generating a local document according to the target news content.
In the embodiment of the present application, the RPA robot automatically generates a local document according to the target news content obtained in step S102.
According to the news processing method combining the RPA and the AI, news related to a preset theme is obtained from a preset website based on the natural language processing NLP, information of a preset field is extracted from the news based on the natural language processing NLP to obtain target news content, and a local document is generated according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, and automatically edits news content to generate a local document, without manual participation, thereby greatly saving working time of responsible personnel, and having high efficiency, high instantaneity and low error rate.
Fig. 3 is a flowchart of another news processing method combining RPA and AI according to an embodiment of the present application. As shown in fig. 3, on the basis of the embodiment shown in fig. 1, the news processing method combining RPA and AI proposed in this embodiment specifically includes the following steps:
s301, news related to a preset theme is obtained from a preset website based on Natural Language Processing (NLP).
S302, extracting information of preset fields from news based on natural language processing NLP to obtain target news content.
S303, generating a local document according to the target news content.
In the embodiment of the present application, steps S301 to S303 are the same as steps S101 to S103 in the above embodiment, and are not described herein again.
S304, filling in the user system according to the local document to generate news to be published.
In this embodiment of the application, the RPA robot may automatically fill in the user system according to the local document generated in step S303, and generate news to be published. The filling interface of the user system can be as shown in fig. 4, and the RPA robot can automatically select a publishing column, fill in a sub-column, fill in a title, select a media type, add an external link, complete the filling in of news content, select a news source, fill in an author, and fill in a source website according to a local document.
S305, releasing the news to be released to a preset position to be released.
In the embodiment of the application, the RPA robot automatically selects the publishing time, selects the sorting time, and selects the browsing permission, and publishes the news to be published generated in step S304 to a preset position to be published, where the position to be published may be a "to be published" information column of the user system.
S306, sending audit reminding information to the user.
In the embodiment of the application, the RPA robot can automatically send the audit prompt message to the user through the user system, and specifically can send the mail to the user mailbox or send the short message to the user mobile terminal.
According to the news processing method combining the RPA and the AI, news related to a preset theme is obtained from a preset website based on the natural language processing NLP, information of a preset field is extracted from the news based on the natural language processing NLP to obtain target news content, and a local document is generated according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, automatically edits news content, generates a local document, automatically fills in a user system according to the local document, issues news to be issued to a preset place, and simultaneously sends audit prompt information, without manual participation, thereby greatly saving the working time of responsible personnel, and having high efficiency, high instantaneity and low error rate. The RPA robot can operate regularly every day, the accuracy of the whole process is high, and news is prevented from being missed and mistakenly sent.
Fig. 5 is a flowchart of another news processing method combining RPA and AI according to an embodiment of the present application. As shown in fig. 5, on the basis of the embodiment shown in fig. 3, the step S303 "generating a local document according to the target news content" may specifically include:
s501, judging whether the target news content contains pictures or not based on OCR.
In this embodiment of the application, the RPA robot automatically determines whether the target news content obtained in step S302 includes a picture based on Optical Character Recognition (OCR), that is, determines whether the target news content is a plain text content or an image-text content.
And S502, if the target news content does not contain the picture, opening office software, and performing first regularization processing on the target news content to generate a local document.
In the embodiment of the application, if the target news content does not contain the picture, the RPA robot automatically opens office software, performs first regularization processing on the target news content, and generates a local document. The Office software may specifically include, but is not limited to, Office (Microsoft Office) or WPS (Word Processing System), and the first regularization process specifically includes, but is not limited to, adjustment of any one or more of the following: font size, font color, paragraph, indentation, and format, etc.
And S503, if the target news content contains the pictures, opening office software, and performing second regularization processing and image-text coding processing on the target news content to generate a local document.
In the embodiment of the application, if the target news content contains the picture, the RPA robot automatically opens office software, and performs second regularization processing and image-text coding processing on the target news content to generate a local document. The Office software specifically includes but is not limited to Office or WPS, and the second regulation process specifically includes but is not limited to adjustment of any one or more of the following: font size, font color, paragraph, indentation, format, picture size, and the like.
Further, the "teletext coding process" of step S503 includes: and converting the text content in the graphic and text format in the target news content into a preset code. And after the RPA robot carries out second regularization treatment on the target news content, the text content in the image format is coded, and the image information is converted into a preset code, so that the subsequent operation is facilitated. The preset code may be base64 code, etc.
According to the news processing method combining the RPA and the AI, news related to a preset theme is obtained from a preset website based on the natural language processing NLP, information of a preset field is extracted from the news based on the natural language processing NLP to obtain target news content, and a local document is generated according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, and automatically edits news content to generate a local document, without manual participation, thereby greatly saving working time of responsible personnel, and having high efficiency, high instantaneity and low error rate. The RPA robot can automatically control Office software such as Office or WPS and the like, automatically standardizes the acquired information according to the requirements of users, and greatly reduces the error rate of manual arrangement.
Fig. 6 is a flowchart of another news processing method combining RPA and AI according to an embodiment of the present application. As shown in fig. 6, on the basis of the embodiment shown in fig. 3, the step S304 "filling out the user system according to the local document" may specifically include:
s601, if the local document does not include the preset code, filling the user system according to the local document and the preset field to generate news to be released.
In this embodiment of the application, if the local document does not include the preset code, the local document is plain text information, and the RPA robot fills the user system according to the local document generated in step S303 and the preset field. The preset field specifically includes, but is not limited to, any one or more of the following: main title, sub-title, source, date, text content, text, author, link, etc.
And S602, if the local document comprises the preset code, filling the user system according to the local document and the target preset field in the preset field, and introducing the preset code into the text content to generate the text content in the image-text format, wherein the preset field comprises the text content and the target preset field.
In this embodiment of the application, if the local document includes the preset code, the local document is the image-text information, and the RPA robot fills the user system according to the local document generated in step S303 and the target preset field excluding the text content in the preset field, and introduces the preset code into the text content, so as to generate the text content in the image-text format supporting multiple images. The preset code may be specifically a converted base64 code or the like.
According to the news processing method combining the RPA and the AI, news related to a preset theme is obtained from a preset website based on the natural language processing NLP, information of a preset field is extracted from the news based on the natural language processing NLP to obtain target news content, and a local document is generated according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, and automatically edits news content to generate a local document, without manual participation, thereby greatly saving working time of responsible personnel, and having high efficiency, high instantaneity and low error rate. If the local document is pure text information, filling the user system according to the preset field, if the local document is image-text information, filling the user system according to the preset field except the text, and importing the converted base64 codes into news content to automatically generate the image-text information.
Fig. 7 is an overall flowchart of a news processing method combining RPA and AI according to an embodiment of the present application. As shown in fig. 7, the method comprises the following steps:
and S701, the RPA robot automatically logs in a user system.
S702, the RPA robot acquires news related to a preset theme from a preset website based on natural language processing NLP.
And S703, the RPA robot judges whether the target news content contains the picture or not based on the OCR.
If the target news content does not contain the picture, executing the steps S704-S705; if the target news content includes a picture, steps S706 to S707 are performed.
S704, opening office software, and performing first regularization processing on the target news content to generate a local document.
And S705, the RPA robot fills in a user system according to the local document and the preset field to generate news to be released. Execution continues with S708.
S706, opening office software, and performing second regularization processing and image-text coding processing on the target news content to generate a local document.
And S707, the RPA robot fills the user system according to the local document and the target preset field in the preset field, and introduces the preset code into the text content to generate the news to be released in the image-text format.
And S708, the RPA robot releases the news to be released to the information column of 'to be released'.
And S709, the RPA robot sends a reminding message to inform a responsible person to perform auditing.
In order to implement the above embodiments, the present application further provides a news processing apparatus combining RPA and AI. As shown in fig. 8, a news processing apparatus 800 according to an embodiment of the present application may specifically include: an obtaining module 801, an extracting module 802 and a generating module 803, wherein:
an obtaining module 801, configured to obtain news related to a preset topic from a preset website based on natural language processing NLP.
The extracting module 802 is configured to extract information of a preset field from news based on natural language processing NLP to obtain target news content.
And a generating module 803, configured to generate a local document according to the target news content.
Further, in a possible implementation manner of the embodiment of the present application, the news processing apparatus 800 further includes: the filling module is used for filling the user system according to the local document to generate news to be published; the release module is used for releasing the news to be released to a preset position to be released; and the sending module is used for sending the audit reminding information to the user.
Further, in a possible implementation manner of the embodiment of the present application, the generating module 803 includes: the judging unit is used for judging whether the target news content contains the picture or not based on the OCR; the first generation unit is used for opening office software if the target news content does not contain pictures, and performing first regularization processing on the target news content to generate a local document; and the second generation unit is used for opening office software when the target news content contains the pictures, performing second regularization processing and picture-text coding processing on the target news content, and generating a local document.
Further, in a possible implementation manner of the embodiment of the present application, the first warping process includes an adjustment to any one or more of the following: font size, font color, paragraph, indentation, and format; the second warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, format, picture format, and picture size.
Further, in a possible implementation manner of the embodiment of the present application, the process of graphics-text coding includes: and converting the text content in the graphic and text format in the target news content into a preset code.
Further, in a possible implementation manner of the embodiment of the present application, the preset field includes any one or more of the following fields: main title, subtitle, source, date, text content, text, author, and link.
Further, in a possible implementation manner of the embodiment of the present application, the filling module includes: if the local document does not include the preset code, filling the user system according to the local document and the preset field to generate news to be released; and if the local document comprises the preset code, filling the user system according to the local document and a target preset field in the preset field, and importing the preset code into the text content to generate the text content in the image-text format, wherein the preset field comprises the text content and the target preset field.
It should be noted that the foregoing explanation of the embodiment of the news processing method in combination with RPA and AI also applies to the news processing apparatus in combination with RPA and AI of this embodiment, and details are not repeated here.
The news processing device combining the RPA and the AI, provided by the embodiment of the application, acquires news related to a preset theme from a preset website based on the natural language processing NLP, extracts information of a preset field from the news based on the natural language processing NLP to obtain target news content, and generates a local document according to the target news content. In this embodiment, the RPA robot automatically obtains news related to a preset topic from a preset website based on natural language processing NLP, and automatically edits news content to generate a local document, without manual participation, thereby greatly saving working time of responsible personnel, and having high efficiency, high instantaneity and low error rate.
In various embodiments of the present application, it should be understood that the size of the serial number of each process described above does not mean that the execution sequence is necessarily sequential, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.
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 units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present application, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, may be embodied in the form of a software product, stored in a memory, including several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of the embodiments of the present application.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
The method and the device for processing news by combining the RPA and the AI disclosed in the embodiment of the present application are introduced in detail, a specific example is applied in the text to explain the principle and the implementation of the present application, and the description of the above embodiment is only used for helping to understand the method and the core idea 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 (16)
1. A news processing method combining RPA and AI, comprising:
acquiring news related to a preset theme from a preset website based on Natural Language Processing (NLP);
extracting information of a preset field from the news based on natural language processing NLP to obtain target news content;
and generating a local document according to the target news content.
2. The news processing method of claim 1, further comprising:
filling in a user system according to the local document to generate news to be published;
releasing the news to be released to a preset position to be released;
and sending audit reminding information to the user.
3. The news processing method of claim 1, wherein the generating a local document from the target news content comprises:
and judging whether the target news content contains pictures or not based on Optical Character Recognition (OCR).
And if the target news content does not contain the picture, opening office software, and performing first regularization processing on the target news content to generate the local document.
And if the target news content contains the pictures, opening office software, and performing second normalization processing and image-text coding processing on the target news content to generate the local document.
4. A news processing method as claimed in claim 3, wherein the first warping process includes an adjustment to any one or more of: font size, font color, paragraph, indentation, and format;
the second warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, format, picture format, and picture size.
5. A news processing method as claimed in claim 3, wherein the teletext coding process comprises:
and converting the text content in the graphic and text format in the target news content into a preset code.
6. The news processing method of claim 2, wherein the preset field comprises any one or more of:
main title, subtitle, source, date, text content, text, author, and link.
7. A news processing method as claimed in claim 6, wherein the filling out of the user system from the local document comprises:
if the local document does not include a preset code, filling the user system according to the local document and the preset field to generate the news to be published;
and if the local document comprises the preset code, filling the user system according to the local document and a target preset field in the preset field, and importing the preset code into text content to generate the text content in a picture-text format, wherein the preset field comprises the text content and the target preset field.
8. A news processing apparatus that combines RPA and AI, comprising:
the acquisition module is used for acquiring news related to a preset theme from a preset website based on Natural Language Processing (NLP);
the extraction module is used for extracting information of a preset field from the news based on natural language processing NLP to obtain target news content;
and the generating module is used for generating a local document according to the target news content.
9. The news processing apparatus of claim 8, further comprising:
the filling module is used for filling the user system according to the local document to generate news to be published;
the release module is used for releasing the news to be released to a preset position to be released;
and the sending module is used for sending the audit reminding information to the user.
10. The news processing apparatus of claim 8, wherein the generation module comprises:
the judging unit is used for judging whether the target news content contains pictures or not based on Optical Character Recognition (OCR);
the first generation unit is used for opening office software if the target news content does not contain pictures, and performing first regularization processing on the target news content to generate the local document;
and the second generation unit is used for opening office software when the target news content contains pictures, performing second regularization processing and picture-text coding processing on the target news content, and generating the local document.
11. A news processing device as claimed in claim 10, wherein the first warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, and format;
the second warping process includes adjustments to any one or more of: font size, font color, paragraph, indentation, format, picture format, and picture size.
12. A news processing apparatus as claimed in claim 10, wherein the teletext coding process comprises:
and converting the text content in the graphic and text format in the target news content into a preset code.
13. The news processing apparatus of claim 9, wherein the preset field comprises any one or more of:
main title, subtitle, source, date, text content, text, author, and link.
14. The news processing apparatus of claim 13, wherein the fill module comprises:
a first filling unit, configured to fill the user system according to the local document and the preset field if the local document does not include a preset code, so as to generate the news to be published;
and a second filling unit, configured to fill the user system according to a target preset field in the preset field according to the local document if the local document includes the preset code, and introduce the preset code into a text content to generate a text content in a text-text format, where the preset field includes the text content and the target preset field.
15. A computing device, comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the news processing method in combination with RPA and AI according to any one of claims 1-7.
16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a news processing method in combination with an RPA and an AI according to any one of claims 1-7.
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