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
"Twitter Sentiment in Data Streams with Perceptron"
written by Nathan Aston, Jacob Liddle, Wei Hu,
published by Journal of Computer and Communications, Vol.2 No.3, 2014
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] 1W A bibliometric analysis on tourist destinations research
Tourist Clusters, Destinations and Competitiveness
[2] About Challenges in Data Analytics and Machine Learning for Social Good
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[3] Use of a Recurrent Neural Network to Identify Spammers on Twitter
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[4] Sentimental Analysis of Movie Reviews Using Machine Learning Algorithms
… Conference on Machine …, 2022
[5] Invited speech: Data Analytics and (Interpretable) Machine Learning for Social Good
2021 IEEE 23rd Int Conf on High Performance …, 2021
[6] Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
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[7] New Approach for Detecting Spammers on Twitter using Machine Learning Framework
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[8] An Intelligent Dashboard for Assisted Tweet Composition in the Cultural Heritage Area (Work-in-progress)
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[9] Survey Paper on Spam Detection Using Support Machine Vector (SVM)
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[10] A New Ensemble Method for Classifying Sentiments of COVID-19-Related Tweets
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[11] Sentiment Analysis of Movie Reviews using Machine Learning Classifiers
International Journal of Computer Applications, 2019
[12] Sentiment Analysis of Train Derailment in India: A Case Study from Twitter Data
2019
[13] Statistical Analysis for Twitter Spam Detection
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[14] Eating disorders studied over online social networks
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[15] Sentimental Analysis of Demonetization Over Twitter Data Using Machine Learning
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[16] Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora
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[17] Basic Review of Different Strategies for Sentiment Analysis in Online Social Networks
International Journal of Recent Technology and Engineering (IJRTE), 2019
[18] Opinion Mining and Active Learning: a Comparison of Sampling Strategies
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[19] A comprehensive topic-model based hybrid sentiment analysis system
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[20] Tweet Sentiment Analysis (TSA) for Cloud Providers Using Classification Algorithms and Latent Semantic Analysis
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[21] تنقیب بیانات وسائل التواصل الإجتماعى واستخداماته فى البحوث الإعلامیة... تحلیل المشاعر نموذجاً‎
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[22] A typology of viral ad sharers using sentiment analysis
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[23] An Optimized Hybrid Neural Network Model for Detecting Depression among Twitter Users
International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019
[24] Complex industrial automation data stream mining algorithm based on random Internet of robotic things
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[25] Clinical Communication and Collaboration: Three Essays Examining the Impact of IT Interventions on At-Risk Populations Using Healthcare Analytics
ProQuest Dissertations Publishing, 2018
[26] Multilingual Sentiment Analysis for a Swiss Gig
2018
[27] BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion Classification
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[28] Análise de sentimento em tweets
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[29] TEXT BASED SENTIMENT ANALYSIS OF PRODUCT REVIEWS
Pakistan Journal of Biotechnology, 2018
[30] A Review of Sentiment Semantic Analysis Technology and Progress
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[31] The Use of Hashtags in the Promotion of Art Exhibitions
2017
[32] Influência dos sentimentos dos turistas nos social media para o desenvolvimento do turismo
2016
[33] Like it or not: A survey of twitter sentiment analysis methods
ACM Computing Surveys (CSUR), 2016
[34] Smart Card Adoption in Healthcare: An Experimental Survey Design using Message Framing
2016
[35] Design and simulation of a novel classification framework for separating sentiment from assorted game related tweets
2016
[36] Design of Machine Learning Approach For Spam Tweet Detection
IJARIIE, 2016
[37] Publicly verifiable private aggregation of time-series data
2015
[38] Tourist Clusters, Destinations and Competitiveness: Theoretical Issues and Empirical Evidences
2015
[39] Understanding and monitoring attitudes of product properties over time
Dissertation, 2015
[40] A bibliometric analysis on tourist destinations research: focus on destination management and tourist cluster
2015
[41] A bibliometrics analysis on tourist destinations research
2015
[42] A trust-based sentiment delivering calculation method in microblog
International Journal of Services Technology and Management, 2015
[43] 1 A bibliometric analysis on tourist destinations research
Tourist Clusters, Destinations and Competitiveness: Theoretical Issues and Empirical Evidences, 2015
[44] Tourist Clusters, Destinations and Competitiveness
2015
[45] 大数据分析中的计算智能研究现状与展望
META, 2015
[46] A era de um mercado social
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[47] Talking about Climate Change and Global Warming
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[48] # Worldcup2014 on Twitter
Computational Science and Its Applications -- ICCSA 2015, 2015
[49] Content-Based Sentiment and Geolocation Tagging of Social Media Messages for Trend Analysis
The Fifth International Workshop on Mining Ubiquitous and Social Environments. 2014., 2014
[50] Corpus-Based Information Extraction and Opinion Mining for the Restaurant Recommendation System
Statistical Language and Speech Processing. Springer International Publishing,, 2014
[51] Sentiment Analysis on the Social Networks Using Stream Algorithms
Journal of Data Analysis and Information Processing, 2014
[52] Real-Time Analysis of Online Product Reviews by Means of Multi-Layer Feed-Forward Neural Networks
2014
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