SOCIAL MEDIA DATA ANALYSIS USING CLOUD COMPUTING

Abstract

Abstract: Social media big data is the term used to describe the enormous volumes of data that have been produced as a result of the social media platforms' exponential expansion. Every second, social media sites like Facebook, YouTube, Instagram, and Twitter (X) generate enormous amounts of both organized and unstructured data. Analysing this data yields insightful information about market dynamics, user behaviour, trends, and opinions. However, cloud computing effectively provides the sophisticated computational resources needed to handle such massive amounts of data. This study investigates how cloud computing technologies can be integrated with social media data analysis. It talks about the frameworks, tools, and techniques used to analyze social media data, including machine learning algorithms, Hadoop, and Spark. The difficulties with data privacy, scalability, and real-time processing are also examined in the article. Lastly, it discusses upcoming developments that will improve social media analysis, such as big data analytics and artificial intelligence. Keywords: Social Media, Cloud Computing, Big Data Analytics, Hadoop, Spark, Sentiment Analysis, and Data Mining.