Sentiment Analysis of Investor Opinions on Twitter

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ISSN Print: 2169-3285
ISSN Online: 2169-3323
www.scirp.org/journal/sn
E-mail: sn@scirp.org

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"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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[30]	How information technologies shape investor sentiment: A web-based investor sentiment index
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[32]	Twitter Based Capital Market Analysis Using Cloud Statistics
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[44]	Stock market prediction using Twitter sentiment analysis
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[47]	Analysis of associations between financial time series and social network activity
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[48]	SENTIMENT ANALYSIS: COTEMPORARY RESEARCH AFFIRMATION OF RECENT LITERATURE
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[53]	Social Media's Perspective on Industry 4.0: A Twitter Analysis
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[54]	Automated Sentiment Analysis in Tourism: Comparison of Approaches
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[55]	Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training
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[56]	SOSYAL MEDYA İLE HİSSE SENEDİ FİYATININ GÜNLÜK HAREKET YÖNÜ ARASINDAKİ İLİŞKİNİN İNCELENMESİ: DUYGU ANALİZİ UYGULAMASI
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[66]	In Quest of Significance: Identifying Types of Twitter Sentiment Events that Predict Spikes in Sales
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[1]	How the tone of mass media news affects pledge amounts in reward crowdfunding campaigns Journal of Small Business Management, 2024 DOI:10.1080/00472778.2022.2041198

[2]	Analyzing the Impact of Financial News Sentiments on Stock Prices—A Wavelet Correlation Mathematics, 2023 DOI:10.3390/math11234830

[3]	Gold Price Prediction using Sentiment Analysis 2022 20th International Conference on Language Engineering (ESOLEC), 2022 DOI:10.1109/ESOLEC54569.2022.10009529

[4]	Inter-City Emotional Synchrony Is Conditional on Mobility Patterns Behavioral Sciences, 2022 DOI:10.3390/bs12110410

[5]	Gold Price Prediction using Sentiment Analysis 2022 20th International Conference on Language Engineering (ESOLEC), 2022 DOI:10.1109/ESOLEC54569.2022.10009529

[6]	MODELING STOCK PRICE MOVEMENTS PREDICTION BASED ON NEWS SENTIMENT ANALYSIS AND DEEP LEARNING Annals of Financial Economics, 2022 DOI:10.1142/S2010495222500038

[7]	How the tone of mass media news affects pledge amounts in reward crowdfunding campaigns Journal of Small Business Management, 2022 DOI:10.1080/00472778.2022.2041198

[8]	Research on Influential Factors in Stock Market Prediction with LSTM 2022 7th International Conference on Big Data Analytics (ICBDA), 2022 DOI:10.1109/ICBDA55095.2022.9760368

[9]	The pandemic semesters: Examining public opinion regarding online learning amidst COVID ‐19 Journal of Computer Assisted Learning, 2021 DOI:10.1111/jcal.12574

[10]	Mining Data for Financial Applications Lecture Notes in Computer Science, 2021 DOI:10.1007/978-3-030-66981-2_2

[11]	Anomaly Detection Mechanism Based on Hierarchical Weights through Large-Scale Log Data 2021 International Conference on Computer Communication and Artificial Intelligence (CCAI), 2021 DOI:10.1109/CCAI50917.2021.9447458

[12]	Research Anthology on Strategies for Using Social Media as a Service and Tool in Business 2021 DOI:10.4018/978-1-7998-9020-1.ch037

[13]	The Irruption of Cryptocurrencies Into Twitter Cashtags: A Classifying Solution IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2973735

[14]	The Public Sentiment analysis within Big data Distributed system for Stock market prediction– A case study on Colombo Stock Exchange 2020 5th International Conference on Information Technology Research (ICITR), 2020 DOI:10.1109/ICITR51448.2020.9310871

[15]	Text Mining in Big Data Analytics Big Data and Cognitive Computing, 2020 DOI:10.3390/bdcc4010001

[16]	The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR Journal of Forecasting, 2020 DOI:10.1002/for.2681

[17]	The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR Journal of Forecasting, 2020 DOI:10.1002/for.2681

[18]	Kelime Vektörü Yöntemlerinin Model Oluşturma Sürelerinin Karşılaştırılması Bilişim Teknolojileri Dergisi, 2019 DOI:10.17671/gazibtd.472226

[19]	Kelime Vektörü Yöntemlerinin Model Oluşturma Sürelerinin Karşılaştırılması Bilişim Teknolojileri Dergisi, 2019 DOI:10.17671/gazibtd.472226

[20]	Word2vec to behavior: morphology facilitates the grounding of language in machines. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 DOI:10.1109/IROS40897.2019.8967639

[21]	Twitter Based Capital Market Analysis Using Cloud Statistics International Journal of Sociotechnology and Knowledge Development, 2019 DOI:10.4018/IJSKD.2019040104

[22]	How information technologies shape investor sentiment: A web-based investor sentiment index Borsa Istanbul Review, 2019 DOI:10.1016/j.bir.2019.01.001

[23]	The Evaluation of Financial Participation Banking System in Turkey in the context of Sentiment Analysis International Journal of Islamic Economics and Finance Studies, 2019 DOI:10.25272/ijisef.563164

[24]	Human Centered Computing Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-37429-7_7

[25]	Listening to the Buzz: Social Media Sentiment and Retail Depositors' Trust SSRN Electronic Journal , 2018 DOI:10.2139/ssrn.3160570

[26]	Guide to Big Data Applications Studies in Big Data, 2018 DOI:10.1007/978-3-319-53817-4_4

[27]	Analysis of relationships between tweets and stock market trends Journal of Intelligent & Fuzzy Systems, 2018 DOI:10.3233/JIFS-169515

[28]	Twitter permeability to financial events: an experiment towards a model for sensing irregularities Multimedia Tools and Applications, 2018 DOI:10.1007/s11042-018-6388-4

[29]	SOSYAL MEDYA İLE HİSSE SENEDİ FİYATININ GÜNLÜK HAREKET YÖNÜ ARASINDAKİ İLİŞKİNİN İNCELENMESİ: DUYGU ANALİZİ UYGULAMASI Uluslararası İktisadi ve İdari İncelemeler Dergisi, 2017 DOI:10.18092/ulikidince.352414

[30]	Advances in Combining Intelligent Methods Intelligent Systems Reference Library, 2017 DOI:10.1007/978-3-319-46200-4_1

[31]	Automated Sentiment Analysis in Tourism: Comparison of Approaches Journal of Travel Research, 2017 DOI:10.1177/0047287517729757

[32]	Social Media’s Perspective on Industry 4.0: A Twitter Analysis Social Networking, 2017 DOI:10.4236/sn.2017.64017

[33]	Tone Analyzer for Online Customer Service Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017 DOI:10.1145/3132847.3132864

[34]	Tone Analyzer for Online Customer Service Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017 DOI:10.1145/3132847.3132864

[35]	Sentiment analysis of Twitter data for predicting stock market movements 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016 DOI:10.1109/SCOPES.2016.7955659

[36]	A twitter sentiment analysis for cloud providers: A case study of Azure vs. AWS 2016 7th International Conference on Computer Science and Information Technology (CSIT), 2016 DOI:10.1109/CSIT.2016.7549473

[37]	Correlation of feature score to overall sentiment score for identifying the promising features 2016 International Conference on Computer Communication and Informatics (ICCCI), 2016 DOI:10.1109/ICCCI.2016.7479953

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