Apache Spark Tabanlı Duygu Analizi

Year 2021, , 233 - 241, 15.12.2021

Emre Yıldırım , Ali Çalhan

https://doi.org/10.47495/okufbed.928826

Abstract

Bu çalışmada, büyük verileri bellek içi hesaplama yöntemi ile hızlı bir şekilde işleyebilen Apache Spark açık kaynak kodlu çerçeve kullanılarak duygu analizi gerçekleştirilmiştir. Duygu analizi işleminde Spark içerisinde bulunan MLlib makine öğrenimi kütüphanesi kullanılmıştır. Lojistik regresyon (LR), destek vektör makinesi (DVM) ve Naive Bayes sınıflandırma algoritmalarının kullanıldığı bu çalışmada, algoritmaların farklı ölçütlere göre performans değerlendirmeleri yapılmaktadır.

Keywords

Apache spark, Duygu analizi, Makine Öğrenmesi

Apache Spark Based Sentiment Analysis

Abstract

In this study, emotion analysis is carried out using the Apache Spark open source framework, which is capable of processing big data quickly with the method of computing in memory. MLlib machine learning library in Spark was used in the sentiment analysis process. Logistic regression (LR), support vector machine (DVM), and Naive Bayes classification algorithms are used for performance evaluations according to different criteria.

Keywords

Apache spark, Sentiment analysis, Machine learning

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