Design of Ensemble Classifier Selection Framework Based on Ant Colony Optimization for Sentiment Analysis and Opinion Mining
Abstract:
Ensemble Classifier provides a promising way to improve the accuracy of classification for sentiment analysis and opinion mining. Ensemble classifier should combine with diverse base classifiers. However, establishing a connection between diversity and accuracy of ensemble classifier is tedious task because of sensitivity between diversity and accuracy. In this paper an Ensemble classifier selection (ECS) framework based on Ant Colony Optimization (ACO) algorithm is presented. The framework provides a subset of base classifiers from a given set of classifiers with maximum possible diversity and accuracy to design an ensemble classifier for sentiment analysis and opinion mining. This framework uses diversity measures and accuracy as selection criteria for classifier selection for ensemble creation. The experimental result shows that the ensemble classifiers provided by this framework presents an efficient way for sentiment analysis and opinion mining. Read More
Publication: Discrete Optimization
Publisher: IJITEE
Authors: Sanjeev Kumar, Ravendra Singh
Keywords: Ant Colony Optimization, Ensemble Classifier, Sentiment Analysis and Opinion Mining, Ensemble Classifier Selection
Meet one of the Author:
Dr Sanjeev Kumar received his Ph.D. in Computer Science and Information Technology from M.J.P. Rohilkhand University, Bareilly, Uttar Pradesh, India. His research background encompasses Natural Language Processing, Machine Learning, Deep Learning, Ensemble Classifier, Optimization Algorithms, and Stream Mining. His ability to think critically and approach problems in a logical and analytical manner differentiates him from others.
Dr. Sanjeev Kumar
Affiliations:
Department of Computer Science and Information Technology, M.J.P. Rohilkhand University, Bareilly, Uttar Pradesh, India – Mahatma Jyotiba Phule Rohilkhand University (MJPRU) is a university located in the state of Uttar Pradesh, India. It has both affiliated and campus jurisdictions and is governed by the UP Universities Act, 1973. The university offers higher education and has a long history, dating back to the late 19th and early 20th centuries. It is considered a generation three university, with the universities established between 1857 and 1947 being considered generation one and two, respectively.
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