@inproceedings{58ee9f99a93f400d97a060b9c2e7ab3b,
title = "Improved Big Data Analytics Solution Using Deep Learning Model and Real-Time Sentiment Data Analysis Approach",
abstract = "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.",
keywords = "Big data analytics, Deep learning, Machine learning, Neural network model, Sentiment analysis",
author = "Chen, {Chun I.Philip} and Jiangbin Zheng",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 ; Conference date: 07-07-2018 Through 08-07-2018",
year = "2018",
doi = "10.1007/978-3-030-00563-4_56",
language = "英语",
isbn = "9783030005627",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "579--588",
editor = "Amir Hussain and Bin Luo and Jiangbin Zheng and Xinbo Zhao and Cheng-Lin Liu and Jinchang Ren and Huimin Zhao",
booktitle = "Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings",
}