![]() doi:10.1016/j.eswa.2010.10.041.This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.Īuthors who publish with this journal agree to the following terms: Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes. (2012), An Optimized NBC Approach in Text Classification. Data Mining Practical Machine Learning Tools and Techniques (Third., p. Optik - International Journal for Light and Electron Optics, 125(3), 1439–1443. Optik Real estate price forecasting based on SVM optimized by PSO. ![]() United Kingdom: A John Wiley And Sons, Ltd.,Publication. Business Intelligence Data Mining And Optimization For Decision Making. Retrieved April 22, 2015, from Statsoft Web Site: Naive Bayes Clasifier Introductory Overview. (2012), Implementasi Opinion Mining (Analisis Sentimen) untuk Ekstraksi Data Opini Publik pada Perguruan Tinggi. Temporal contexts: effective text classification in evolving document collection. An Advanced Multi Class Instance Selection Based Support Vector Machine for Text Classification. Data Mining Mengolah Data menjadi Informasi. Subjectivity Detection and Opinion Identification. More than words: social network’s text mining for consumer brand sentiments. Ureña-López, Experiments with SVM to classify opinions in different domains, Expert Syst. International Journal of Electrical Power & Energy Systems, 52, 161–173. Electrical Power and Energy Systems An experimental investigation of two Wavelet-MLP hybrid frameworks for wind speed prediction using GA and PSO optimization. Surabaya: Politeknik Elektronika Negeri Surabaya. Klasifikasi Email Berbahasa Indonesia menggunakan Text Mining dan Algoritma KMeans. Users of the world, unite! The challenges and opportunities of social media. ![]() Data Mining: Concepts and Techniques Third Edition. Selection criteria for text mining approaches. Hashimi, Hussein, Alaaeldin Hafez, & Hassan Mathkour. The Role of Text Pre-processing in Sentiment Analysis. Information Processing & Management, 50, 693-707 Reprint of “Supervised sentiment analysis in Czech social media”. Cambridge University Press, New York.Francisco: Diane Cerra. The Text Mining Handbook Advanced Approaches in Analyzing Unstructured Data. WILEY : United Kingdom.įeldman, Ronen and Sanger, James. ALGORITMA PEMROGRAMAN JAVA MOVIEOpinion Mining of Movie Review using HybridMethod of Support Vector Machine and Particle SwarmOptimization. Journal of Intelligent Systems, 1(1), 49–55.īasari, A. Penerapan Metode Distance Transform Pada Linear Discriminant Analysis Untuk Kemunculan Kulit Pada Deteksi Kulit. ![]() Klasifikasi Dokumen Text menggunakan Algoritma Naive Bayes Dengan Bahasa Pemrograman Java. Keywords:Public Opinion, Classification, Naive Bayes, Particle Swarm Optimization, Text Mining.Īndini (2013). Naive Bayes Model and Particle Swarm Optimization can provide solutions to the problems of classification review of public opinion news of the election in order to more accurately and optimally. It can be concluded that the application of optimization can improve the accuracy of 63.85% to 71.15%. Accuracy is generated on Naive Bayes algorithm amounted to 63.85% and AUC by 0523, while Naive Bayes and Particle Swarm Optimmization with an accuracy of 71.15% and the AUC of 0.600. PSO is widely used to solve optimization problems as well as the feature selection. Particle Swarm Optimization (PSO) is an evolutionary computation technique which is able to produce globally optimal solution in the search space through the interaction of individuals in a swarm of particles. In addition to having many capabilities mentioned above, however this method has a drawback in the assumptions that are difficult to fulfill, namely the independence of the feature. Naive Bayes classifier has been shown to be very effective to solve the problem of large scale for text categorization with high accuracy. Naive Bayes is widely used for classification problems in data mining and machine learning for its simplicity and accuracy of classification impressive. Society can not adjust the development of IT process well. This happens because when getting warm diperbincangan 2014 presidential election yesterday happened pengkubu-kubuan two candidates. Pros and cons indeed occur among people are so warm that they pour on the internet. ![]() When the Presidential election of 2014 yesterday has a lot of people use the phrase does not educate inappropriate to be delivered among the public. Abstract - The development of increasingly advanced IT in the process of presidential elections. ![]()
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