Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (1): 151-156.

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Chunk-based Opinion Object Extraction and Application in OpinionAnalysis

YANG Liang, PAN Feng-ming, LIN Hong-fei   

  1. College of Computer Science and Technology,Dalian University of Technology,Dalian Liaoning 116024,China
  • Received:2010-12-22 Published:2018-11-16

Abstract: Opinion analysis based on opinion-object extractionaims at mining opinions from multi-field reviews.This technique analyzes opinion reviews by extracting opinion objects and grouping the opinion objects automatically.A ChunkCRF model is constructed to divide the opinionatedsentence into particular chunks which helps to identify the opinion objects andother opinion elements effectively.In the case of multi-objects in one sentence,syntactic structure is analyzed for a decision.In the case of implicit opinionobjects,opinion object is generated by a semantic method.On this basis,opinion analysis based on opinion-object extraction is practiced.

Key words: ChunkCRF, opinion analysis, opinion object extraction

CLC Number: 

  • TP391.1
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