  Data sizes that cannot be processed by conventional data storage and analysis
systems are named as Big Data.It also refers to nex technologies developed to
store, process and analyze large amounts of data. Automatic information
retrieval about the contents of a large number of documents produced by
different sources, identifying research fields and topics, extraction of the
document abstracts, or discovering patterns are some of the topics that have
been studied in the field of big data.In this study, Naive Bayes classification
algorithm, which is run on a data set consisting of scientific articles, has
been tried to automatically determine the classes to which these documents
belong. We have developed an efficient system that can analyze the Turkish
scientific documents with the distributed document classification algorithm run
on the Cloud Computing infrastructure. The Apache Mahout library is used in the
study. The servers required for classifying and clustering distributed
documents are
