Method for detecting webpage wrongly written characters and category compliance

Abstract

The invention discloses a method for detecting wrongly written characters and category compliance of a webpage, and the method comprises the steps: carrying out the semantic understanding of a text through a deep learning model, and recognizing the wrongly written characters in combination with a context; dynamically matching a preset verification rule through a rule engine; the analysis and verification of various file formats such as PDF, Word, TXT and the like are supported; according to the method, automatic verification during webpage uploading can be realized by fusing multi-modal semantic analysis and a dynamic rule engine, verification efficiency and accuracy are remarkably improved, meanwhile, a user-defined lexicon and category system is supported, the method is suitable for scenes such as finance, government affairs and laws which have strict requirements for file quality, the defects in the prior art are overcome, and the method is suitable for popularization and application. And the method has a relatively high application value.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method for detecting typos and category compliance on web pages. Background Art

[0002] With the widespread adoption of digital office work, web upload verification has become a key component in ensuring document quality. Existing technologies for spelling error detection primarily rely on tools based on rules or simple statistical models (such as spelling dictionary matching), while category classification often uses preset label matching. This presents the following issues: Insufficient adaptation to Chinese features: The diversity of Chinese characters (simplified and traditional characters, rare characters) and context dependency lead to high misjudgment rates in traditional verification methods. Single verification dimension: Most systems only cover spelling errors and cannot identify complex errors such as category confusion and format violations Low degree of automation: manual review is required, which is inefficient and prone to missing critical errors. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for detecting typos and category compliance on web pages in response to the above-mentioned problems in the prior art, thereby solving all or one of the above-mentioned problems in the prior art.

[0004] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: The present invention provides a method for detecting typos and category compliance on a web page, comprising: Use deep learning models to understand the semantics of text and identify typos based on context; Dynamically match preset verification rules through the rule engine; Supports parsing and verification of multiple file formats such as PDF, Word, TXT, etc.

[0005] As an improved solution, it also includes: Configure authoritative vocabulary, covering political terms, industry standards, and sensitive word classification Supports user-defined vocabulary expansion to meet personalized verification needs.

[0006] As an improved solution, it also includes: Verification is performed using a multi-level verification process: Primary validation: format compliance check; Secondary verification: semantic level typo detection; Advanced verification: Category consistency verification.

[0007] As an improved solution, it also includes: Integrated real-time proofreading plug-in, supports Word / WPS web pages to be edited and verified at the same time Provides API interface, which can be embedded into third-party content management systems.

[0008] As an improved solution, it also includes: Adopt dynamic encoding detection technology to automatically identify and convert encoding formats such as GB / T and UTF-8; Perform metadata integrity check on non-text elements such as tables and pictures.

[0009] As an improved solution, it also includes: Build a category relationship network based on the knowledge graph to verify the relevance of categories across web pages Automatically mark the error type and provide correction suggestions.

[0010] As an improved solution, it also includes: Supports private deployment to meet the needs of high-confidentiality scenarios such as government and finance; Provides visual verification reports, including error distribution statistics and risk level assessment.

[0011] As an improved solution, it also includes: It adopts a distributed computing architecture, supports version comparison function, and automatically detects web page revision differences.

[0012] As an improved solution, it also includes: Combine OCR technology to identify text errors in images; Perform logical consistency checks on legal text citations.

[0013] As an improved solution, it also includes: Embed a blockchain evidence storage module to ensure that the verification results cannot be tampered with; Provides an error repair template library, supporting one-click batch correction of common problems.

[0014] The beneficial effect of the technical solution of the present invention is that the method described in the present invention can realize automatic verification when uploading web pages by integrating multimodal semantic analysis and dynamic rule engines, significantly improving verification efficiency and accuracy, and supporting custom vocabulary and category systems. It is suitable for scenarios such as finance, government affairs, and law that have strict requirements on document quality, making up for the shortcomings of existing technologies and having high application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 It is a flowchart of a method for detecting typos and category compliance on a web page according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more precise definition of the protection scope of the present invention.

[0018] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of the present invention.

[0019] The terms "first," "second," and the like in the specification and claims herein and in the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the present invention described herein can be implemented in orders other than those illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or device. Example

[0020] This embodiment provides a method for detecting typos and category compliance on web pages. Figure 1 Shown, including: Use deep learning models to understand the semantics of text and identify typos based on context; Dynamically match preset verification rules through the rule engine; Supports parsing and verification of multiple file formats such as PDF, Word, TXT, etc.

[0021] As an improved solution, it also includes: Configure authoritative vocabulary, covering political terms, industry standards, and sensitive word classification Supports user-defined vocabulary expansion to meet personalized verification needs.

[0022] As an improved solution, it also includes: Verification is performed using a multi-level verification process: Primary validation: format compliance check; Secondary verification: semantic level typo detection; Advanced verification: Category consistency verification.

[0023] As an improved solution, it also includes: Integrated real-time proofreading plug-in, supports Word / WPS web pages to be edited and verified at the same time Provides API interface, which can be embedded into third-party content management systems.

[0024] As an improved solution, it also includes: Adopt dynamic encoding detection technology to automatically identify and convert encoding formats such as GB / T and UTF-8; Perform metadata integrity check on non-text elements such as tables and pictures.

[0025] As an improved solution, it also includes: Build a category relationship network based on the knowledge graph to verify the relevance of categories across web pages Automatically mark the error type and provide correction suggestions.

[0026] As an improved solution, it also includes: Supports private deployment to meet the needs of high-confidentiality scenarios such as government and finance; Provides visual verification reports, including error distribution statistics and risk level assessment.

[0027] As an improved solution, it also includes: It adopts a distributed computing architecture, supports version comparison function, and automatically detects web page revision differences.

[0028] As an improved solution, it also includes: Combine OCR technology to identify text errors in images; Perform logical consistency checks on legal text citations.

[0029] As an improved solution, it also includes: Embed a blockchain evidence storage module to ensure that the verification results cannot be tampered with; Provides an error repair template library, supporting one-click batch correction of common problems.

[0030] It should be noted that the examples herein are only for explaining the present invention and are not intended to limit the scope of protection of the present invention.

[0031] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0032] It should also be understood that in the embodiments herein, the term "and / or" merely describes an association between associated objects, indicating that three possible relationships exist. For example, "A and / or B" could represent: A alone, A and B simultaneously, or B alone. Furthermore, the character " / " in this document generally indicates an "or" relationship between the associated objects.

[0033] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this document.

[0034] Those skilled in the art will clearly understand that, for the sake of convenience and brevity of description, the specific logical process of the method described above can refer to the corresponding working processes of the systems, devices and units in the aforementioned method embodiments, and will not be repeated here.

[0035] In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices, or units, or can be an electrical, mechanical, or other form of connection.

[0036] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments herein.

[0037] In addition, the functional units in the various embodiments herein may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0038] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0039] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention's description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting typos and category compliance on web pages, characterized in that: The following steps are involved: Use deep learning models to understand the semantics of text and identify typos based on context; Dynamically match preset verification rules through the rule engine; Supports parsing and verification of multiple file formats such as PDF, Word, TXT, etc.

2. The method for detecting typos and category compliance on web pages according to claim 1, characterized in that: Also includes: Configure authoritative vocabulary, covering political terms, industry standards, and sensitive word classification Supports user-defined vocabulary expansion to meet personalized verification needs.

3. The method for detecting typos and category compliance on web pages according to claim 1 or 2, characterized in that: Also includes: Verification is performed using a multi-level verification process: Primary validation: format compliance check; Secondary verification: semantic level typo detection; Advanced verification: Category consistency verification.

4. The method for detecting typos and category compliance on web pages according to claim 1, wherein: Also includes: Integrated real-time proofreading plug-in, supports Word / WPS web pages to be edited and verified at the same time Provides API interface, which can be embedded into third-party content management systems.

5. The method for detecting typos and category compliance on web pages according to claim 1, characterized in that: Also includes: Adopt dynamic encoding detection technology to automatically identify and convert encoding formats such as GB / T and UTF-8; Perform metadata integrity check on non-text elements such as tables and pictures.

6. The method for detecting typos and category compliance on web pages according to claim 1, wherein: Also includes: Build a category relationship network based on the knowledge graph to verify the relevance of categories across web pages Automatically mark the error type and provide correction suggestions.

7. The method for detecting typos and category compliance on web pages according to claim 1, characterized in that: Also includes: Supports private deployment to meet the needs of high-confidentiality scenarios such as government and finance; Provides visual verification reports, including error distribution statistics and risk level assessment.

8. The method for detecting typos and category compliance on web pages according to claim 1, characterized in that: Also includes: It adopts a distributed computing architecture, supports version comparison function, and automatically detects web page revision differences.

9. The method for detecting typos and category compliance on web pages according to claim 1, characterized in that: Also includes: Combine OCR technology to identify text errors in images; Perform logical consistency checks on legal text citations.

10. The method for detecting typos and category compliance on web pages according to claim 1, characterized in that: Also includes: Embed a blockchain evidence storage module to ensure that the verification results cannot be tampered with; Provides an error repair template library, supporting one-click batch correction of common problems.

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