Document Classification Using Distributed Machine Learning

February 10, 2018 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Galip Aydin, Ibrahim Riza Hallac arXiv ID 1802.03597 Category cs.IR: Information Retrieval Cross-listed cs.DC Citations 4 Venue arXiv.org Last Checked 4 months ago
Abstract
In this paper, we investigate the performance and success rates of NaΓ―ve Bayes Classification Algorithm for automatic classification of Turkish news into predetermined categories like economy, life, health etc. We use Apache Big Data technologies such as Hadoop, HDFS, Spark and Mahout, and apply these distributed technologies to Machine Learning.
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