PATopics: A framework to automate the extraction of information in pharmaceutical patent documents
DOI:
https://doi.org/10.5753/reic.2023.3417Keywords:
Patentes farmacêuticas, Modelagem de tópicos, Processamento de linguagem naturalAbstract
Pharmaceutical patents are composed of documents with many details regarding the invention’s claims and methodology/results explanation. Management them refers to an exhaustive manual search. To mitigate this problem, we proposed PATopics, a framework able to extract relevant information from patents’ textual information, build relevant topics, correlate them with useful patent characteristics and present the information in a friendly web interface. We evaluated the framework using 4,832 pharmaceutical patents concerning 809 molecules patented by 478 companies. We analyze considering the demands of three user profiles – researchers, chemists, and companies – showing how practical and helpful PATopics is in the pharmaceutical scenario.
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