scholarly journals Comparative opinion mining: A review

2016 ◽  
Vol 68 (4) ◽  
pp. 811-829 ◽  
Author(s):  
Kasturi Dewi Varathan ◽  
Anastasia Giachanou ◽  
Fabio Crestani
2020 ◽  
Vol 10 (1) ◽  
pp. 461-477
Author(s):  
Umair Younis ◽  
Muhammad Zubair Asghar ◽  
Adil Khan ◽  
Alamsher Khan ◽  
Javed Iqbal ◽  
...  

AbstractIn recent times, comparative opinion mining applications have attracted both individuals and business organizations to compare the strengths and weakness of products. Prior works on comparative opinion mining have focused on applying a single classifier, limited comparative opinion labels, and limited dataset of product reviews, resulting in degraded performance for classifying comparative reviews. In this work, we perform multi-class comparative opinion mining by applying multiple machine learning classifiers using an increased number of comparative opinion labels (9 classes) on 4 datasets of comparative product reviews. The experimental results show that Random Forest classifier has outperformed the comparing algorithms in terms of improved accuracy, precision, recall and f-measure.


2016 ◽  
Vol 82 ◽  
pp. 57-64 ◽  
Author(s):  
Asad Ullah Rafiq Khan ◽  
Madiha Khan ◽  
Mohammad Badruddin Khan

2014 ◽  
Author(s):  
Aliaksei Severyn ◽  
Alessandro Moschitti ◽  
Olga Uryupina ◽  
Barbara Plank ◽  
Katja Filippova
Keyword(s):  

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