Automatic Patent Classification Using Support Vector Machines And Its Applications

Patents as an important component belonging to innovation can serve as an index in representing the technological development level in a given industry. However, agricultural biotechnology patent (ABP) data have not been updated since 2000. The major objective of this thesis is to identify ABP issued between 2001 and 2007. Apart from traditional manual identifying methods, we focus on adopting a model built on machine learning methodology. As a result, a score will be generated for each patent to indicate its possible inclusion in the agricultural biotechnology category. We select patents based on ranking their scores and following the patent classification scheme. The analysis of 9,539 ABP issued between 2001 and 2007 shows that the quantity reaches its peak value in 2001 and follows a downward trend until 2006. Based on the patent identification result, we also run several economic analyses to verify the ABP development trend and investigate their characteristics.

[1]  Jean O. Lanjouw,et al.  How to Count Patents and Value Intellectual Property: Uses of Patent Renewal and Application Data , 1996 .

[2]  Randy Goebel,et al.  Computational intelligence - a logical approach , 1998 .

[3]  Bradford L. Barham,et al.  UNIVERSITIES AND AGRICULTURAL BIOTECHNOLOGY PATENT PRODUCTION , 2000 .

[4]  Karen A. Holbrook,et al.  Public Sector Collaboration for Agricultural IP Management , 2003, Science.

[5]  Ethem Alpaydin,et al.  Introduction to machine learning , 2004, Adaptive computation and machine learning.

[6]  Carl E. Pray,et al.  An Innovation Market Approach to Analyzing Impacts of Mergers and Acquisitions in the Plant Biotechnology Industry , 2005 .

[7]  A Dookun,et al.  Agricultural biotechnology in developing countries. , 2001, Biotechnology Annual Review.

[8]  R. Shepherd,et al.  The influence of realistic product exposure on attitudes towards genetic engineering of food , 1996 .

[9]  M. Taylor,et al.  American patent policy biotechnology, and African agriculture: the case for policy change. , 2003 .

[10]  Manuel Trajtenberg,et al.  Market Value and Patent Citations: A First Look , 2000 .

[11]  Soushan Wu,et al.  Credit rating analysis with support vector machines and neural networks: a market comparative study , 2004, Decis. Support Syst..

[12]  N. Lalitha.  Diffusion of agricultural biotechnology and intellectual property rights: emerging issues in India , 2004 .

[13]  ANJOインターナショナル,et al.  財務会計 = Financial accounting , 2001 .

[14]  Kazuhiro Asakawa,et al.  Rethinking the public sector: idiosyncrasies of biotechnology commercialization as motors of national R&D reform in Germany and Japan , 2004 .

[15]  J. Kesan,et al.  History and trends in agricultural biotechnology patent law from a litigator's perspective. , 2007 .

[16]  Yunsong Guo,et al.  Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search , 2009, IJCAI.

[17]  D. Zilberman,et al.  The public–private structure of intellectual property ownership in agricultural biotechnology , 2003, Nature Biotechnology.

[18]  N. Noorderhaven,et al.  Organizational identification and cultural differences: Explaining employee attitudes and behavioral intentions during postmerger integration , 2009 .