Journal of Computer and Communications

Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.org/journal/jcc
E-mail: jcc@scirp.org
"Big Data Stream Analytics for Near Real-Time Sentiment Analysis"
written by Otto K. M. Cheng, Raymond Lau,
published by Journal of Computer and Communications, Vol.3 No.5, 2015
has been cited by the following article(s):
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[1] Literature review, gaps and research question
[2] Integrated Real-time Social Media Sentiment Analysis using a Big Data Analytic Ecosystem
[3] Privacy preserving-aware over big data in clouds using GSA and MapReduce framework
2020
[4] Big data and sentiment analysis: A comprehensive and systematic literature review
2020
[5] A Near Real-Time Approach for Sentiment Analysis Approach Using Arabic Tweets.
2019
[6] Sentiment analysis and text categorization of cancer medical records with LSTM
2019
[7] A spark‐based big data analysis framework for real‐time sentiment prediction on streaming data
2019
[8] Integrated Real-Time Big Data Stream Sentiment Analysis Service
2018
[9] Software Agents Role and Predictive Approaches for Online Auctions
2017
[10] Conceptual notion for opinion mining from upcoming big data
2017
[11] Map reduce programming model for parallel K-mediod algorithm on hadoop cluster
2017
[12] Sentiment Analysis Twitter Data-An Overview
International Journal of Research and Development in Applied Science and Engineering, 2017
[13] Detection and Prediction of Users Attitude Based on Real-Time and Batch Sentiment Analysis of Facebook Comments
Computational Social Networks, 2016
[14] A fuzzy long-term investment planning model for a GenCo in a hybrid electricity market considering climate change impacts
Information Systems Frontiers, 2016
[15] Data collection and analytics strategies of social networking websites
Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, 2015
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