An Empirical Analysis of Patent Data Linguistics through Automated Summarization Techniques

Emily R. Wellesley; Sofia Jensen; Felix T. Moreno; David S. Fraser

Vol. 10 No. 9 (2021), Original Research Articles

Vol. 10 No. 9 (2021)

An Empirical Analysis of Patent Data Linguistics through Automated Summarization Techniques

Original Research Articles

Published 2021-09-13

Emily R. Wellesley⁺⁻
Sofia Jensen⁺⁻
Felix T. Moreno⁺⁻
David S. Fraser⁺⁻

Emily R. Wellesley

Department of Computer Science, University of California, Berkeley; Department of Linguistics, University of Michigan, Ann Arbor; Artificial Intelligence Research Institute, University of Southern Cal

Sofia Jensen

Department of Computer Science, University of California, Berkeley; Department of Linguistics, University of Michigan, Ann Arbor; Artificial Intelligence Research Institute, University of Southern Cal

Felix T. Moreno

Department of Computer Science, University of California, Berkeley; Department of Linguistics, University of Michigan, Ann Arbor; Artificial Intelligence Research Institute, University of Southern Cal

David S. Fraser

Department of Computer Science, University of California, Berkeley; Department of Linguistics, University of Michigan, Ann Arbor; Artificial Intelligence Research Institute, University of Southern Cal

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Keywords

Data mining
fuzzy sets
linguistic summarization
patent data

How to Cite

[1]

E. R. Wellesley, S. Jensen, F. T. Moreno, and D. S. Fraser, “An Empirical Analysis of Patent Data Linguistics through Automated Summarization Techniques”, J. Comput. Eng., vol. 10, no. 9, Sep. 2021, Accessed: Apr. 13, 2026. [Online]. Available: https://journalofcomputerengineering.com/index.php/jce/article/view/1383

Abstract

—Patent data have an increasingly important role in economic growth, innovation, technical advantages and business strategies and even in countries competitions. Analyzing of patent data is crucial since patents cover large part of all technological information of the world. In this paper, we have used the linguistic summarization technique to prove the validity of the hypotheses related to patent data stated in the literature

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