JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (12): 23-29.doi: 10.6040/j.issn.1671-9352.3.2014.123

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Feature extraction method based on Bootstrapping in English product comment

WANG Hui, CHEN Guang   

  1. Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2014-08-28 Revised:2014-10-21 Online:2014-12-20 Published:2014-12-20

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Abstract: An feature extraction method based on Bootstrapping in English product comment was proposed. By this method, starting with a set of extraction patterns as seeds, and then applying an incremental iterative procedure to find new features. During the process of the each iteration, the system ranks the new features by score, which is calculated by the intimacy relationship between the candidate features and patterns. This is useful for prevent topic drift. After extracting features, WordNet is used to calculate the similarity between features. Then clustering the features by the similarity score, get different aspects of the product features, then filtering out the low score of the class clusters, remove noise. What's more, to improve the portability of the system, the seed features are replaced by seed patterns. Experimental results show that extracting features by this method has a good result, the precision, recall and F-measure reach 0.799, 0.779, 0.789 and it has good extraction performance.

Key words: wordnet, bootstrapping, information extraction, feature extraction

CLC Number: 

  • TP391
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