Sentiment Analysis on Twitter Data using Big Data

Dublin Core

Title

Sentiment Analysis on Twitter Data using Big Data

Author

Obada Almonajed, Samed Jukić

Abstract

Abstract –With the increasing number of users and data on the Internet, especially social media sites,
sentiment analysis topic became one of the important and essential fields for most. Collection of
people's feelings and sentiment and classifying the data attracted most businesses and companies.
Recently, twitter sentiment analysis has attracted much attention, because of Twitter's growth and
popularity. The solution for handling enormous amounts of data from social media is a new term
called Big data. Big data is not just for having a large amount of data, but also the importance of
processing and the usage of the data.

Keywords

Keywords–big data, sentiment analysis, twitter, apache spark, social media, machine learning

Identifier

2637-2835

DOI

10.14706/JONSAE2021311

Publisher

Faculty of Engineering and Natural Sciences, IBU

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