Improved Big Data Analytics Solution Using Deep Learning Model and Real-Time Sentiment Data Analysis Approach

摘要

Deep Learning has been considered as an effective tool for Big Data Analytics due to its capabilities of dealing with massive amounts of complex structured and unstructured data. Deep Learning has recently come to play a significant role in solutions for Big Data Analytics. The Sentiment Analysis is also considered the most effective tool for performing the real-time analytics to know "what is really happening now" queries. This paper studies the method that integrated the Deep Learning Model with a Real-Time Sentiment Analysis technique to perform predictive analytics that could improve the outcomes of the Big Data Analytics solution for an informed decision-making process. A proof of concept project on Stock Market Prediction System was developed to demonstrate the real value of our approach for an improved Big Data Analytics solution.