8 results about "Patent analysis" patented technology

The invention discloses a technology development analysis method and system based on a patent big language model, and relates to the field of big data analysis. The problems that an existing artificial intelligence patent analysis method is difficult to accurately analyze a technical structure in a patent text, cannot describe a technical hierarchical relationship, is difficult to eliminate technical semantic diversity, cannot systematically analyze a technical evolution process and the like are solved. And the network structure characteristics and the technology node importance are analyzed, and the evolution characteristics of the technology system in different stages, the key technology nodes and the change trend of the technology community structure can be identified, so that technical support is provided for artificial intelligence technology development situation research and judgment and technology layout decision. The method is suitable for a technical analysis scene of million-level patent data.

The application discloses a patent theme graph generation method and system based on deep semantic hierarchical clustering, comprising: obtaining a patent literature set PT to be generated into a patent theme graph; using a patent deep semantic representation model to perform semantic coding on each patent literature in the patent literature set PT, and obtaining a semantic representation vector matrix V={v1,...,v N}; inputting the semantic representation vector matrix V into a hierarchical clustering algorithm to obtain a hierarchical clustering tree structure corresponding to the patent literature set PT; generating a corresponding theme description for each non-leaf node on the hierarchical clustering tree structure; and combining the generated theme description and the hierarchical clustering tree structure into a patent theme graph with an upper and lower hierarchical structure. The patent theme graph generation method and system can help users quickly mine upper and lower hierarchical relationships of patent literatures at a theme level, meet the analysis needs of users for large-scale patent information, and improve the efficiency of patent analysis of users.

The application provides a key information analysis system for technical patent data, and relates to the technical field of patent analysis, comprising a collection and storage layer, an analysis layer and an application layer, wherein the collection and storage layer comprises a collection module and a storage module, the analysis layer comprises a text conversion and extraction module, a keyword benchmark library, an extraction module, a specific gravity value analysis module, a summary module and a classification module; the collection module is used for collecting technical patent data in all formats, and the storage module is used for storing the technical patent data; after collecting the technical patent data, the application takes the keyword benchmark library as a benchmark, extracts relevant and similar keywords and their contexts in the patent text data, summarizes the extracted keywords and their contexts into texts representing the fields, advantages and technical means of the patent technology, and induces them into short data reports, so that a person can quickly connect the key information of each patent from the short data reports, save understanding time and facilitate screening.

This application relates to the field of patent analysis, and in particular to a computer-aided patent document clustering method. The method includes: receiving multiple sets of clustering seeds, each set containing a cluster name and at least one corresponding clustering attractor; using a processing unit to determine whether the key feature information of each patent document contains a certain clustering attractor (step A); executing step A whenever additional sets of clustering seeds are received, until the number of patent documents whose key feature information does not contain any clustering attractor is less than a certain threshold; associating patent documents whose key feature information contains a certain clustering attractor with the cluster name corresponding to that attractor, thereby obtaining the cluster name of each patent document. This application improves the accuracy and efficiency of patent clustering, and is a practical, accurate, and efficient patent clustering method that can help users obtain highly accurate clustering results with high efficiency.

The invention relates to the technical field of electric digital data processing, in particular to a patent analysis method and retrieval system based on distinguishing technical means traceability. The patent analysis method based on distinguishing technical means traceability comprises the steps that 1, a technical file recording a public technical scheme close to a to-be-analyzed technical scheme is obtained through retrieval, or patent analysis reports of other technical schemes, close to the to-be-analyzed technical scheme, in the field are selected to serve as comparison files; 2, comparing the to-be-analyzed technical scheme with a comparison file, and identifying and distinguishing technical means; 3, performing traceability analysis on the different technical means; and identifying the patent infringement risk of the to-be-analyzed technical scheme. The method has the beneficial effects that the workload is small, the acceptance check is convenient, the accuracy of retrieval is not interfered by an unsubstantially examined or invalid patent protection range, the coverage range is large, and the retrieval can be accepted.

The embodiment of the invention relates to an agent analysis system for performing patent infringement analysis on a molecular structure. The system comprises a task scheduling module, a molecular analysis module, a patent analysis agent, a structure matching agent, an infringement analysis module, a fact checking module, a Markush structure library and a substituent database, the task scheduling module sequentially schedules the subtask processing processes of the molecular analysis module, the patent analysis agent and the structure matching agent, performs fact verification on each subtask output by using the fact verification module, and schedules the infringement analysis module to generate an infringement analysis report according to the output of the structure matching agent; and the structure matching agent is also used for carrying out dynamic fine adjustment on the built-in structure matching model according to the Markush structure library and the substituent database. The analysis precision can be improved, and the analysis quality can be improved.

The invention relates to the technical field of patent analysis and drug research and development decision support, in particular to an LLM-based medical patent infringement risk multi-dimensional early warning method, which comprises the following steps of: analyzing a user attention level, configuring a risk dimension weight in combination with a decision scene, obtaining medical patent technical characteristics and a target product, and establishing a medical patent infringement risk model; the method comprises the following steps: analyzing claims by utilizing BERT to generate a multi-dimensional sub-structure map, quantifying technical characteristics by combining atomic stability and an attention matrix, evaluating avoidance feasibility by calculating a candidate site bond energy disturbance value and distribution density, fusing the technical characteristics with multi-source intelligence, constructing a multi-dimensional risk index set, and establishing a multi-dimensional risk index map; according to the multi-dimensional risk early warning method, the BERT is utilized to construct a substructure map, the contribution weight is quantified in combination with the atomic stability, the key energy is calculated to evaluate the avoidance feasibility, the molecular fingerprint is fused with multi-source data mapping, the weighted aggregation is executed according to the scene, the subjective deviation is eliminated, and the microscopic difference is mined. And accurate quantitative early warning of the medical patent infringement risk is realized.

The invention provides a technical blank space calibration and layout subject identification method based on suspected missed labeling patents, belongs to the technical field of patents, and solves the problems of technical blank misjudgment and the like caused by term diversity and indexing limitation in an existing patent analysis method. The method comprises the following steps: constructing a patent retrieval expression according to target technology description, performing retrieval, and constructing a large-field patent set; extracting high-purity seed samples from the large-field patent set, and constructing a high-purity seed set; modeling is carried out on the high-purity seed set from different technical perspectives, and a multi-dimensional behavior portrait is constructed; evaluating the to-be-evaluated patent based on the multi-dimensional behavior portrait, and generating a suspected label missing patent set; on the basis of the large-field patent set and the suspected missed labeling patent set, the technical blank area is calibrated, and a true blank and a false blank are distinguished; and identifying an underestimated layout main body and an emerging technical direction based on the large-field patent set and the suspected missed labeling patent set.