Performance Comparison Of Hadoop-Spark Cluster For Performing Sentiment Analysis On Big Data

Key Points

• This research aims to evaluate the performance of Hadoop and Spark clusters for sentiment analysis on large datasets.
• Comparative analysis of Hadoop and Spark clusters
• Sentiment analysis techniques applied to big data
• Performance metrics evaluated include speed and accuracy
• Spark demonstrated faster processing times compared to Hadoop
• Hadoop was effective but less efficient in handling real-time data
• Both clusters showed high accuracy in sentiment analysis outcomes