earticle

논문검색

A Bootstrapping Based Evaluation Object Extraction in Comments on Chinese Commodities

초록

영어

Currently product reviews information has become the focus of increasing concern to these comments often containing more information on consumer evaluation of various attributes of goods, and therefore the evaluation of mining comment object has become a hot topic. This paper presents a method called evaluation object extraction based on Bootstrapping in Chinese commodity comments, this method first comment summed up a lot of information on the properties of 10 kinds of speech rule templates, and then determined the integrity of the candidate meets these templates phrases, and these have complete of candidates as a seed, extended new property template by Bootstrapping method, and finally removed in line with all the attributes of a template as a final evaluation of the object phrase, and through experiments to calculate the accuracy, harmonic mean of recall and pr

목차

Abstract
 1. Introduction
 2. The Paper Work
 3. Candidate Evaluation Object Extraction
  3.1. Screening Generate Candidate Noun Phrase Phrases
  3.2. Candidate Object Extraction.
 4. Based on the Evaluation Object Extraction Method Bootstrapping
 5. The Experimental Analysis
  5.1 Experiment 1: The Results Compare to Data1 were not Used this Method and Evaluated after the Integrity of the Candidate Phrase
  5.2 Experiment 2: Compare this Method with Keyword Matching Methods Evaluated Score Results
 6. Conclusion
 References

저자정보

  • Geng Yushui School of Information, Qilu University of Technology Jinan250353, China
  • Zhang Lishuo School of Information, Qilu University of Technology Jinan250353, China
  • Sun Tao School of Information, Qilu University of Technology Jinan250353, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.