AN AN INTEGRATIVE REVIEW OF SIMILAR PATENT SEARCH SYSTEMS USING AI
ADVANCES, CHALLENGES, AND APPLICATIONS
DOI:
https://doi.org/10.48090/ciki.v%25vi%25i.1418Keywords:
Selecionado:patent data, search for similar patents, natural language processing, deep learning, text miningAbstract
This article is an integrative review of systems for searching similar patents. With the increasing volume of patent data available, stored in patent offices, it has become essential to develop efficient systems for the identification and verification of patent documents, analyzing their similarities in terms of technology, application, or approach. Different databases were used to retrieve articles relevant to the topic. In this context, this article aims
to examine recent advances in the application of Natural Language Processing, Machine Learning, and Text Mining techniques to enhance the accuracy and efficiency of patent searching. From the results, it is envisioned that this work will serve as a valuable reference for researchers and professionals involved in patent search and analysis
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