학술논문

Social Media Analytics through Big Data Using Hadoop Framework
Document Type
Conference
Source
2023 International Conference on Business Analytics for Technology and Security (ICBATS) Business Analytics for Technology and Security (ICBATS), 2023 International Conference on. :1-10 Mar, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Geoscience
Robotics and Control Systems
Transportation
Text analysis
Social networking (online)
Blogs
Big Data
Media
Motion pictures
Security
Hadoop
Social Media Analytics
Sentiment analysis
Language
Abstract
In the current decades, data from social networks has increased dramatically. Since outmoded tools and techniques are not appropriate for working with such a large amount of data, a good structure is needed to accumulate these vast volumes of data and provide the opportunity for finale users to analyze them. In this research work, we use data analysis techniques to support businessmen for the development of new strategies. We use Apache Hadoop framework and apache flume platform for obtaining social media analytics. Apache flume works as a local host for the Hadoop data file system (HDFS). Iron man 3 movie reviews on twitter have been executed and analyzed by using apache flume and hive. By observing the table created by apache hive from twitter tweets it is shown that only 2 movie viewers observe that it is negative, some of them observe the movie not of standard while giving a neutral opinion or negative option, but most of them like the movie by giving positive remarks.