Sentiment Analysis of Big Data Applications using Twitter Data with the Help of HADOOP Framework

被引：0

作者：

Sehgal, Divya ^{[1
]}

Agarwal, Ambuj Kumar ^{[1
]}

机构：

[1] Teerthanker Mahaveer Univ, CCSIT, Moradabad, India

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON SYSTEM MODELING & ADVANCEMENT IN RESEARCH TRENDS (SMART-2016) | 2016年

关键词：

Big Data; HADOOp; HDFS; Concepts of; Map Reduce; Analysis of Data;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Twitter Data is one of the large amounts of sized data, because it is having a millions of tweets every day. It is one of the largest social media site. We are using this twitter data for the business purpose and industrial or social purpose according to our data requirement and processing the data. It is very large amount of sized data increasing every second that is known as big data. Because of large amount of data increasing every day we cannot easily analysis this data. We are using here new technology is HADOOP; with the help of HADOOP we can easily analysis the large amount of sized data. In this paper, we are using HADOOP for the analyzing the twitter data which is also known as a big data.

引用

页码：251 / 255

页数：5

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