Feature-Wise Opinion Summarization of Consumer Reviews Using Domain Ontology

[1]  Maite Taboada,et al.  Lexicon-Based Methods for Sentiment Analysis , 2011, CL.

[2]  Reena Mahe,et al.  Study of Different Levels for Sentiment Analysis , 2015 .

[3]  Tianfang Yao,et al.  Combining dependency parsing with shallow semantic analysis for Chinese opinion-element relation identification , 2010, 2010 4th International Universal Communication Symposium.

[4]  Koby Crammer,et al.  Analysis of Representations for Domain Adaptation , 2006, NIPS.

[5]  Hussein A. Abbass,et al.  A Comparative Study for Domain Ontology Guided Feature Extraction , 2003, ACSC.

[6]  Andrea Esuli,et al.  SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining , 2006, LREC.

[7]  Peter D. Turney.  Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL , 2001, ECML.

[8]  Giuseppe Carenini,et al.  Extracting knowledge from evaluative text , 2005, K-CAP '05.

[9]  Kuldeep Kumar,et al.  Generating Domain Ontology from Chinese Customer Reviews to Analysis Fine-gained Product Quality Risk , 2018 .

[10]  Genshe Chen,et al.  Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier , 2013, 2013 IEEE International Conference on Big Data.

[11]  Manisha Shinde-Pawar.  Formation of Smart Sentiment AnalysisTechnique for Big Data , 2014 .

[12]  Atul Mishra,et al.  A Scalable, Lexicon Based Technique for Sentiment Analysis , 2014, FOCS 2014.

[13]  Bing Liu,et al.  Mining and summarizing customer reviews , 2004, KDD.

[14]  Abeer El-Korany,et al.  Semantic Feature Based Arabic Opinion Mining Using Ontology , 2016 .

[15]  Oren Etzioni,et al.  Extracting Product Features and Opinions from Reviews , 2005, HLT.

[16]  Denzil Correa,et al.  Generating Domain-Specific Ontology from Common-Sense Semantic Network for Target-Specific Sentiment Analysis , 2010 .

[17]  Doru Rotovei,et al.  Multi-Agent Aspect Level Sentiment Analysis in CRM Systems , 2016, 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

[18]  Marcus Herzog,et al.  Using Ontologies for Extracting Product Features from Web Pages , 2006, SEMWEB.

[19]  Kim Schouten,et al.  Survey on Aspect-Level Sentiment Analysis , 2016, IEEE Transactions on Knowledge and Data Engineering.

[20]  Hua Xu,et al.  Clustering product features for opinion mining , 2011, WSDM '11.

[21]  Muhammad Zubair Asghar,et al.  A Review of Feature Extraction in Sentiment Analysis , 2014 .

[22]  David Sánchez,et al.  Ontology-Based Feature Extraction , 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

[23]  Iryna Gurevych,et al.  A Comparative Study of Feature Extraction Algorithms in Customer Reviews , 2008, 2008 IEEE International Conference on Semantic Computing.

[24]  Manisha Shinde Pawar.  Formation of Smart Sentiment Analysis Technique for Big Data , 2015 .