In this project, PySpark was used to build a Naive-Bayes classifier to determine the sentiment of a comment. For that, was used a database with approximately 1.5GB of data, which amounts to 3.6 million comments. Spark was used to efficiently handle this large amount of data.
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RicardoRibeiroRodrigues/SparkNayveBayes
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Nayve Bayes implementation using spark, to be used to handle big data
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