Sentimental Analysis of Twitter Data

Abstract

Today, the world is rapidly heading towards the digital lifestyle. The data volume is getting larger and larger day by day. The solution for this problem can be resolved with the help of latest technology called as “Hadoop”. The data can be stored, processed, analyzed and later the results can be visualized. Here, in this paper, we are studying to fetch real time data from a social networking site, i.e. twitter and then store it in Hadoop distributed file system. Later the data can be analyzed and visualized in the form of bar graphs and pie charts. This data can be used by various organizations to predict the response of any product. Also storing the data in secure environment will be an easy approach.

Keywords: Big data, Hadoop, sentimental analysis, Twitter data, HDFS, Map-Reduce

Cite this Article
Sapna Bajaj, Apurav Thakur, Prayag Chhikara. Sentimental Analysis of Twitter Data. Journal of Web Engineering & Technology. 2019; 6(1): 52–57p.