Sentiment analysis and opinion mining: a survey G Vinodhini, RM Chandrasekaran International Journal 2 (6), 282-292, 2012 | 981 | 2012 |
A comparative performance evaluation of neural network based approach for sentiment classification of online reviews G Vinodhini, RM Chandrasekaran Journal of King Saud University-Computer and Information Sciences 28 (1), 2-12, 2016 | 128 | 2016 |
A sampling based sentiment mining approach for e-commerce applications G Vinodhini, RM Chandrasekaran Information Processing & Management 53 (1), 223-236, 2017 | 71 | 2017 |
Opinion mining using principal component analysis based ensemble model for e-commerce application G Vinodhini, RM Chandrasekaran CSI transactions on ICT 2, 169-179, 2014 | 46 | 2014 |
Predicting Students' Academic Performance in the University Using Meta Decision Tree Classifiers. A Shanthini, G Vinodhini, RM Chandrasekaran J. Comput. Sci. 14 (5), 654-662, 2018 | 39 | 2018 |
Wear element analysis using neural networks of a DI diesel engine using biodiesel with exhaust gas recirculation SS V. Manieniyana, G. Vinodhini, R. Senthilkumar Energy 114, 603-612, 2016 | 39 | 2016 |
A taxonomy on impact of label noise and feature noise using machine learning techniques A Shanthini, G Vinodhini, RM Chandrasekaran, P Supraja Soft Computing 23, 8597-8607, 2019 | 33 | 2019 |
Effect of feature reduction in sentiment analysis of online reviews G Vinodhini, RM Chandrasekaran Int J Adv Res Comput Eng Technol (IJARCET) 2 (6), 2165-2172, 2013 | 29 | 2013 |
Sentiment classification using principal component analysis based neural network model G Vinodhini, RM Chandrasekaran International Conference on Information Communication and Embedded Systems …, 2014 | 19 | 2014 |
Measuring the quality of hybrid opinion mining model for e-commerce application G Vinodhini, RM Chandrasekaran Measurement 55, 101-109, 2014 | 18 | 2014 |
Performance evaluation of ensemble based collaborative filtering recommender system P Venil, G Vinodhini, R Suban 2019 IEEE International Conference on System, Computation, Automation and …, 2019 | 15 | 2019 |
Sentiment learning from imbalanced dataset: an ensemble based method V Gopalakrishnan, C Ramaswamy Int. J. Artif. Intell 12 (2), 75-87, 2014 | 14 | 2014 |
Time series forecasting of daily reference evapotranspiration by neural network ensemble learning for irrigation system N Manikumari, A Murugappan, G Vinodhini IOP Conference Series: Earth and Environmental Science 80 (1), 012069, 2017 | 13 | 2017 |
A state of the art survey on cold start problem in a collaborative filtering system P Venil, G Vinodhini, R Suban Int. J. Sci. Technol. Res 9, 2606-2612, 2020 | 12 | 2020 |
Regression models for predicting reference evapotranspiration N Manikumari, G Vinodhini International Journal of Engineering Trends and Technology (IJETT) 38 (3 …, 2016 | 10 | 2016 |
Sentiment mining using SVM-based hybrid classification model G Vinodhini, RM Chandrasekaran Computational Intelligence, Cyber Security and Computational Models …, 2014 | 10 | 2014 |
Performance evaluation of machine learning classifiers in sentiment mining G Vinodhini, RM Chandrasekaran International Journal of Computer Trends and Technology (IJCTT) 4 (6), 1783-1786, 2013 | 10 | 2013 |
An efficient feature selection with weighted extreme learning machine for water quality prediction and classification model J Charles, G Vinodhini, R Nagarajan Annals of the Romanian Society for Cell Biology 25 (3), 1969-1994, 2021 | 6 | 2021 |
Performance evaluation of sentiment mining classifiers on balanced and imbalanced dataset G Vinodhini, RM Chandrasekaran IJCSBI. ORG, 201318, 2013 | 5 | 2013 |
Bagged SVM classifier for software fault prediction A Shanthini, G Vinodhini, RM Chandrasekaran International Journal of Computer Applications 62 (15), 21-24, 2013 | 3 | 2013 |