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Support vector based method for acquiring domain specific patents

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2 Author(s)
Chen Wang ; Institute of Computational Linguistics, Peking University, 100871 Beijing, China ; Su-Jian Li

Patents classification is useful in the management and some other utilities of patent. In this paper, semi-automatic patent classification system was used to solve the problem. Thus, the classification model was built to filter some domain irrelative patents. Because of different optimization target, regression model was used instead of classification model. The goal of the system is filter more domain irrelative patents while remains more domain relative patents. The experimental results demonstrate that an ideal performance could be reached through the adjustment of threshold.

Published in:

2009 International Conference on Machine Learning and Cybernetics  (Volume:6 )

Date of Conference:

12-15 July 2009