Co-extracting opinion targets and opinion-bearing words in Chinese micro-blog texts

Quan Chao Liu; He Yan Huang; Chong Feng

doi:10.3969/j.issn.0372-2112.2016.07.021

Co-extracting opinion targets and opinion-bearing words in Chinese micro-blog texts

Quan Chao Liu, He Yan Huang, Chong Feng

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Using lexical, syntactic, semantic and relative position features to extract opinion pairs <opinion target, opinion-bearing word> in micro-blog, we put forward the co-extracting model, and then give co-extracting opinion pairs optimization algorithm based on forwarding between micro-blogs. According to the experimental results, our two-stage approach greatly improves the performances of co-extracting opinion pairs.

Original language	English
Pages (from-to)	1662-1670
Number of pages	9
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	44
Issue number	7
DOIs	https://doi.org/10.3969/j.issn.0372-2112.2016.07.021
Publication status	Published - 1 Jul 2016

Keywords

Information extraction
Micro-blog
Opinion mining
Opinion target
Opinion-bearing word
Social network

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10.3969/j.issn.0372-2112.2016.07.021

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title = "Co-extracting opinion targets and opinion-bearing words in Chinese micro-blog texts",

abstract = "Using lexical, syntactic, semantic and relative position features to extract opinion pairs in micro-blog, we put forward the co-extracting model, and then give co-extracting opinion pairs optimization algorithm based on forwarding between micro-blogs. According to the experimental results, our two-stage approach greatly improves the performances of co-extracting opinion pairs.",

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AU - Liu, Quan Chao

AU - Huang, He Yan

AU - Feng, Chong

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N2 - Using lexical, syntactic, semantic and relative position features to extract opinion pairs in micro-blog, we put forward the co-extracting model, and then give co-extracting opinion pairs optimization algorithm based on forwarding between micro-blogs. According to the experimental results, our two-stage approach greatly improves the performances of co-extracting opinion pairs.

AB - Using lexical, syntactic, semantic and relative position features to extract opinion pairs in micro-blog, we put forward the co-extracting model, and then give co-extracting opinion pairs optimization algorithm based on forwarding between micro-blogs. According to the experimental results, our two-stage approach greatly improves the performances of co-extracting opinion pairs.

KW - Information extraction

KW - Micro-blog

KW - Opinion mining

KW - Opinion target

KW - Opinion-bearing word

KW - Social network

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JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

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ER -

Co-extracting opinion targets and opinion-bearing words in Chinese micro-blog texts

Abstract

Keywords

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