"Sentiment Analysis of Investor Opinions on Twitter"
written by Brian Dickinson, Wei Hu,
published by Social Networking, Vol.4 No.3, 2015
has been cited by the following article(s):
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[2] Investor community sentiment analysis for predicting stock price trends
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[11] Türkiye'de Faizsiz Finans Sisteminin Duygu Analizi Bağlamında Değerlendirilmesi
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[12] Evaluating the relationship between social media and market performance of JSE listed companies
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[13] SENTIMENT ANALYSIS: COTEMPORARY RESEARCH AFFIRMATION OF RECENT LITERATURE
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[14] Listening to the buzz: social media sentiment and retail depositors' trust
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[15] Blockbuster: Predicting movie success using social network community sentiment analysis
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[16] 基於文字情感分析應用在台灣股價指數之研究
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[17] Word Embedding for Understanding Natural Language: A Survey
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[18] Analysis of relationships between tweets and stock market trends
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[19] Stock market prediction using Twitter sentiment analysis
Invention Journal of Research Technology in Engineering & Management (IJRTEM), 2018
[20] IS IT IMPORTANT WHAT WE EXPORT? ON THE SPECIALIZATION LEVEL OF FOREIGN TRADE IN TURKISH ECONOMY
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[21] Twitter permeability to financial events: an experiment towards a model for sensing irregularities
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[22] Analysis of associations between financial time series and social network activity
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[23] Guide to Big Data Applications
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[24] ANALISIS SENTIMEN DENGAN METODE NAÏVE BAYES PADA OPINI PENGGUNA MEDIA SOSIAL TWITTER
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[25] Exploiting Noisy Data Normalization for Stock Market Prediction
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[26] Social Media's Perspective on Industry 4.0: A Twitter Analysis
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[27] Automated Sentiment Analysis in Tourism: Comparison of Approaches
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[28] Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training
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[29] SOSYAL MEDYA İLE HİSSE SENEDİ FİYATININ GÜNLÜK HAREKET YÖNÜ ARASINDAKİ İLİŞKİNİN İNCELENMESİ: DUYGU ANALİZİ UYGULAMASI
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[30] Real-Time Investors' Sentiment Analysis from Newspaper Articles
Advances in Combining Intelligent Methods, 2017
[31] Evaluating the impact of social-media on sales forecasting: a quantitative study of worlds biggest brands using Twitter, Facebook and Google Trends
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[32] Extracting References from Political Speech Auto-Transcripts
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[33] Capital Markets Prediction: Multi-Faceted Sentiment Analysis using Supervised Machine Learning
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[34] Centro de Investigación en Computación
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[35] Public Opinion Prediction based on Social Media Sentiment Analysis
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[36] Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
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[37] A twitter sentiment analysis for cloud providers: a case study of Azure vs. AWS
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[38] Correlation of feature score to overall sentiment score for identifying the promising features
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[39] Predicting the Development of Financial Markets by Applying Machine Learning Tools to Social Media Data
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[40] In Quest of Significance: Identifying Types of Twitter Sentiment Events that Predict Spikes in Sales
arXiv preprint arXiv:1508.03981, 2015