Dublin Core
Title
Sentiment Analysis on Twitter Data using Big Data
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.
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