JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (07): 38-44.doi: 10.6040/j.issn.1671-9352.3.2014.106

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Opinion target extraction with active-learning and automatic annotation

ZHU Zhu, LI Shou-shan, DAI Min, ZHOU Guo-dong   

  1. Natural Language Processing Lab, Soochow University, Suzhou 215006, Jiangsu, China
  • Received:2015-03-03 Online:2015-07-20 Published:2015-07-31

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Abstract: An opinion target extraction method combined active-learning and automatic annotation is introduced. Firstly, the results of automatically annotation with the confidence are obtained by using a few of labeled corpus to train the classifier to test the unlabeled samples: secondly, the samples of low confidence is annotated by calculating the confidence of every sample: finally, the words of low confidence in the selected samples is annotated manually, while the others are adopted the results of automatic annotation. The empirical results demonstrate that the proposed method effectively reduces the annotation cost and achieves good performance on opinion target extraction.

Key words: opinion target extraction, active-learning, automatic annotation, sentiment analysis

CLC Number: 

  • TP391
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