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| Study on New Technology Detection in Patents Documents |
| Gu Jun |
| Baoshan Iron and Steel Co., Ltd., Shanghai 201900, China |
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Abstract This paper promotes a method which detecting new technology term from the texts of Chinese patents. Firstly, the element of terms in patents are extracted by ICTCLAS segmentation system and stop words lists. Then the hot elements of terms are filtered based on terms weights computing by improved TFIDF model. Secondly, the hot elements of terms are combined orderly by computing the distance between two words, and obtain the terms collection by terms weights computing and threshold filtering. The valid new technology terms are detected by the experts artificially. Finally, the availability of the method is proved through the applied example.
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Received: 07 November 2012
Published: 06 February 2013
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