The project extracts patent search formulas and technical classifications through natural language processing.
South of Korea ranks first in the world for patent applications as a percentage of GDP-population, and the number of individual patent applications has increased sixfold compared to 2002. 'patent application' means applying to register a patent.
However, nearly 90% of individual patent applicants are rejected due to 'similar patents', and most patents are registered by an 'agent (patent attorney)' on their behalf.
Therefore, the project conducted patent analysis using natural language processing so that individual patent applicants could do patent analysis without having to resort to expensive 'patent offices'.
=> Project Description (detail) (My Blog)
click Code - Download ZIP and unzip it
- Open the
jupyter notebookwith python installed. - Run
Word2Vec project.ipynbandLSA project.ipynb.
If you don't have the jupyter notebook on your computer, install it from this link.
I am looking for someone to help with this project. Please advise and point out.
Please read CONTRIBUTING.md for details on our code
of conduct, and the process for submitting pull requests to us.
- jangThang - Wooyoung Jang - [email protected]
See also the list of contributors who participated in this project.
MIT License
Copyright (c) 2022 jangThang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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copies of the Software, and to permit persons to whom the Software is
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The above copyright notice and this permission notice shall be included in all
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SOFTWARE.