SOCIAL NETWORK ANALYSIS TO DETECT EVENTS USING APACHE SPARK
Journal Title: Международный научный журнал "Интернаука" - Year 2017, Vol 1, Issue 9
Abstract
The article is devoted to the investigation of the task of analyzing the flow of social network messages in order to identify events in real time using the Apache Spark data processing system. It shows the integration of the Apache Spark system with the social network Twitter, which acts as a data source. Defined specific features of stream processing with Spark Streaming. Demonstrated messages analysis using Spark MLlib. Keywords:
Authors and Affiliations
Sergei Lovchinsky
Keywords
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