Aspect-Object Alignment with Integer Linear Programming in Opinion Mining

Yanyan Zhao, Bing Qin, Ting Liu, Wei Yang · PLoS ONE · 2015

Summary

A novel and important sentiment analysis task, termed aspect-object alignment, to solve the "object neglect" problem and designs a two-step framework for this task, which incorporates three sets of features, namely, the basic, relational, and special target features.

Type: article
Published: 2015-05-22
Cited by: 6
References: 48
Access: Open access
DOI: https://doi.org/10.1371/journal.pone.0125084
PubMed: https://pubmed.ncbi.nlm.nih.gov/26000635/
PMC: https://www.ncbi.nlm.nih.gov/pmc/articles/4441432/
OpenAlex: https://openalex.org/W397692437
Semantic Scholar: https://api.semanticscholar.org/CorpusID:10756812

Keywords

Classifier (UML), Computer science, Sentence, Inference, Artificial intelligence

References

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1Dekang Lin — 2011
Extracting Opinion Targets in a Single and Cross-Domain Setting with Conditional Random FieldsNiklas Jakob, Iryna Gurevych — 2010
A Linear Programming Formulation for Global Inference in Natural Language TasksDan Roth, Wen-tau Yih — 2004
Opinion Summarization with Integer Linear Programming Formulation for Sentence Extraction and OrderingHitoshi Nishikawa, Takaaki Hasegawa, Yoshihiro Matsuo — 2010
Resolving Object and Attribute Coreference in Opinion MiningXiaowen Ding, Bing Liu — 2010
Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviewsAyoub Bagheri, Mohamad Saraee, Franciska de Jong — 2013
Identifying comparative sentences in text documentsNitin Jindal, Bing Liu — 2006
Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media TextSoo-Min Kim, Eduard Hovy — 2006
Entity discovery and assignment for opinion mining applicationsXiaowen Ding, Bing Liu, Lei Zhang — 2009
Active Semi-Supervised Learning Method with Hybrid Deep Belief NetworksShusen Zhou, Qingcai Chen, Xiaolong Wang — 2014
Adding Redundant Features for CRFs-based Sentence Sentiment ClassificationJun Zhao, Kang Liu, Gen Wang — 2008
Semantic Role Labeling Via Integer Linear Programming InferenceVasin Punyakanok, Dan Roth, Wen-tau Yih — 2004
The viability of web-derived polarity lexiconsLeonid Velikovich, Sasha Blair-Goldensohn, Kerry Hannan — 2010
Content Models with AttitudeChristina Sauper, Aria Haghighi, Regina Barzilay — 2011
Social Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization SystemWen-Tai Hsieh, Chenming Wu, Tsun Ku — 2012
Joint Inference for Fine-grained Opinion ExtractionBishan Yang, Claire Cardie — 2013
Sentence Compression for Target-Polarity Word Collocation ExtractionYanyan Zhao, Wanxiang Che, Honglei Guo — 2014
Aspect Extraction through Semi-Supervised ModelingArjun Mukherjee, Bing Liu — 2012
Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment ClassificationYejin Choi, Claire Cardie — 2009
Opinion Target Extraction Using Word-Based Translation ModelKang Liu, Liheng Xu, Jun Zhao — 2012

Cited by

Analytical mapping of opinion mining and sentiment analysis research during 2000-2015Rajesh Piryani, D. Madhavi, Vivek Kumar Singh — 2017
FREERL: Fusion relation embedded representation learning framework for aspect extractionJian Liao, Suge Wang, Deyu Li — 2017
Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural NetworksJianfei Yu, Jing Jiang, Rui Xia — 2019
It’s absolutely divine! Can fine-grained sentiment analysis benefit from coreference resolution?Orphée De Clercq, Véronique Hoste — 2020
OPINION MINING USING NEURAL LEARNING BASED FEATURE EXTRACTION MODELS. Shubha, Dr. P. Suresh — 2016
A Framework for Aspect level Sentiment Analysis of Academic Results DataA. Mary, L. Arockiam, Jose L. Hurtado — 2016

Aspect-Object Alignment with Integer Linear Programming in Opinion Mining

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