Social Network Sentiment Analysis for security uses using: Apache Flume and Hive

Previous year's Nominees

We can do analysis on data collected from social Network for many uses . In this paper, we are going to talk how effectively sentiment analysisis done on Twitter data using Flume. Twitter is an online web application which contains rich amount of data that can be a structured, semi-structured and un-structured data. We can collect the data from the twitter by using BIGDATA ecosystem using online streaming tool Flume. And doing analysis on Twitter is also difficult due to language that is used for comments. And, coming to analysis there are different types of analysis that can be done on the collected data. So here we are taking sentiment analysis, for this we are using Hive and its queries to give the sentiment data based up on the groups that we have defined in the HQL (Hive Query Language).

marouane ouerhani

cite med ali bloc N2 appartement numero 20
2040 Rades