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

被引：3

作者：

Chen, Chun-I Philip ^{[1
]}

Zheng, Jiangbin ^{[2
]}

机构：

[1] Calif State Univ, Coll Engn & Comp Sci, Fullerton, CA 92831 USA

[2] Northwestern Polytech Univ, Sch Software & Microelect, Xian, Peoples R China

来源：

ADVANCES IN BRAIN INSPIRED COGNITIVE SYSTEMS, BICS 2018 | 2018年 / 10989卷

关键词：

Big data analytics; Machine learning; Deep learning; Neural network model; Sentiment analysis;

D O I：

10.1007/978-3-030-00563-4_56

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：579 / 588

页数：10

共 50 条

[31] Big Data Analytics Architecture for Real-Time Traffic Control
Amini, Sasan
Gerostathopoulos, Ilias
Prehofer, Christian
2017 5TH IEEE INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2017, : 710 - 715
[32] Scalable Containerized Pipeline for Real-time Big Data Analytics
Aurangzaib, Rana
Iqbal, Waheed
Abdullah, Muhammad
Bukhari, Faisal
Ullah, Faheem
Erradi, Abdelkarim
2022 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM 2022), 2022, : 25 - 32
[33] REAL-TIME BIG DATA ANALYTICS FRAMEWORK WITH DATA BLENDING APPROACH FOR MULTIPLE DATA SOURCES IN SMART CITY APPLICATIONS
Manjunatha, S.
Annappa, B.
SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2020, 21 (04): : 611 - 623
[34] A spark-based big data analysis framework for real-time sentiment prediction on streaming data
Kilinc, Deniz
SOFTWARE-PRACTICE & EXPERIENCE, 2019, 49 (09): : 1352 - 1364
[35] Multimodal Deep Learning Approach for Real-Time Sentiment Analysis in Video Streaming
Tejashwini, S. G.
Aradhana, D.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (08) : 730 - 736
[36] Real Time Big Data Analytics for Tool Wear Protection with Deep Learning in Manufacturing Industry
Cakir, Altan
Ozkaya, Emre
Akkus, Fatih
Kucukbas, Ezgi
Yilmaz, Okan
INTELLIGENT AND FUZZY SYSTEMS: DIGITAL ACCELERATION AND THE NEW NORMAL, INFUS 2022, VOL 2, 2022, 505 : 148 - 155
[37] Big Data Analytics in Medical Imaging using Deep Learning
Tahmassebi, Amirhessam
Ehtemami, Anahid
Mohebali, Behshad
Gandomi, Amir H.
Pinker, Katja
Meyer-Base, Anke
BIG DATA: LEARNING, ANALYTICS, AND APPLICATIONS, 2019, 10989
[38] A Framework for Real-time Sentiment Analysis of Big Data Generated by Social Media Platforms
Fahd, Kiran
Parvin, Sazia
de Souza-Daw, Anthony
2021 31ST INTERNATIONAL TELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE (ITNAC), 2021, : 30 - 33
[39] Network intrusion detection: An optimized deep learning approach using big data analytics
Mary, D. Suja
Dhas, L. Jaya Singh
Deepa, A. R.
Chaurasia, Mousmi Ajay
Sheela, C. Jaspin Jeba
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 251
[40] Real Time Traffic Control Using Big Data Analytics
Verma, Rauhil
Paygude, Priyanka
Chaudhary, Snehal
Idate, Sonali
2018 INTERNATIONAL CONFERENCE ON ADVANCES IN COMMUNICATION AND COMPUTING TECHNOLOGY (ICACCT), 2018, : 637 - 641

← 1 2 3 4 5 →