Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms

Ochoa, Alberto; Cruz, Laura M.; Ponce, Julio; Montes, F.; Li, Liang; Janacek, Lenka

doi:10.5772/8058

Cited by 9 publications

(1 citation statement)

References 35 publications

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“…Previous studies of opinion mining provide limitless opportunities for patients to discuss their experiences with drugs. Therefore, even companies get limitless opportunities to receive feedback on their products and services [2][3][4] because of minority groups of patients on the Internet. Furthermore, recent studies have shown that patient opinions are also useful and important with medical professional opinions [5][6][7][8], especially for drugs with afflicting side effects.…”

Section: Introductionmentioning

confidence: 99%

Classification of drugs reviews using W-LRSVM model

Manek

Shenoy

et al. 2015

2015 Annual IEEE India Conference (INDICON)

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Abstract-Opinion mining provided less opportunity to discuss their experiences about drugs so reviewing about it was difficult. Recent findings show that online reviews and blogs on drugs are important for patients, marketers and industries. Collecting the information for drugs from the website and analyzing is a challenge. A model is designed by proposing an algorithm which crawls information from the web to analyze reviews of drugs. Reviews were crawled for five different drugs using the algorithm. The W-Bayesian Logistic Regression and Support Vector Machine (W-LRSVM) model was trained for different split ratios to obtain the accuracy of 97.46%. Experimental results on reviews of five different drugs showed that the proposed model gave better results compared to other classifiers.

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