Twitter Data Analysis for Live Streaming by Using Flume Technology

EasyChair Preprint 2915

Abstract

In todays world every minute people around the globe express themselves through various platforms on the web. Twitter is one of the social media which is being used by millions of people in order to express their opinions or expressions in the form of tweets. The assets of streaming process generate massive volume of real time data referred to the term big data. In order to understand the instance we are going to analyze the tweets to find out the trending word among the given word using big data. We are going to use flume technology for extracting the real time twitter data and will be stored into hadoop distributed file system. PIG, HIVE and its queries to give the sentiment data based on the groups that we have defined in hive query language. The data will be visualized with the help of word cloud.

Keyphrases: Flume, HDFS, Hadoop, Hive, JSON, Pig, Word Cloud

@booklet{EasyChair:2915,
  author    = {Mohan Manoj Vissamsetti and Yalamandala Prasanth and T. Prem Jacob},
  title     = {Twitter Data Analysis for Live Streaming by Using Flume Technology},
  howpublished = {EasyChair Preprint 2915},
  year      = {EasyChair, 2020}}