Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Sentiment in Twitter events
Mike Thelwall, Kevan Buckley, George Paltoglou
Journal of the American Society for Information Science and Technology (2010) Vol. 62, Iss. 2, pp. 406-418
Open Access | Times Cited: 787

Showing 1-25 of 787 citing articles:

Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stefan Stieglitz, Linh Dang-Xuan
Journal of Management Information Systems (2013) Vol. 29, Iss. 4, pp. 217-248
Closed Access | Times Cited: 1435
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
Kumar Ravi, Vadlamani Ravi
Knowledge-Based Systems (2015) Vol. 89, pp. 14-46
Closed Access | Times Cited: 1212
Sentiment strength detection for the social web
Mike Thelwall, Kevan Buckley, George Paltoglou
Journal of the American Society for Information Science and Technology (2011) Vol. 63, Iss. 1, pp. 163-173
Open Access | Times Cited: 1042
Sentiment Analysis of Short Informal Texts
Svetlana Kiritchenko, Xiaodan Zhu, Seyed Mohammad
Journal of Artificial Intelligence Research (2014) Vol. 50, pp. 723-762
Open Access | Times Cited: 866
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel, Nathan Schneider, Brendan O’Connor, et al.
Meeting of the Association for Computational Linguistics (2011), pp. 42-47
Closed Access | Times Cited: 833
Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis
Theresa Wilson, Janyce Wiebe, Paul Hoffmann
Computational Linguistics (2009) Vol. 35, Iss. 3, pp. 399-433
Open Access | Times Cited: 727
The age of Twitter: Donald J. Trump and the politics of debasement
Brian L. Ott
Critical Studies in Media Communication (2016) Vol. 34, Iss. 1, pp. 59-68
Closed Access | Times Cited: 633
Resolving Information Asymmetry: Signaling, Endorsement, and Crowdfunding Success
Christopher G. Courtney, Supradeep Dutta, Yong Li
Entrepreneurship Theory and Practice (2016) Vol. 41, Iss. 2, pp. 265-290
Closed Access | Times Cited: 621
More than words: Social networks’ text mining for consumer brand sentiments
Mohamed M. Mostafa
Expert Systems with Applications (2013) Vol. 40, Iss. 10, pp. 4241-4251
Closed Access | Times Cited: 605
The Role of Text Pre-processing in Sentiment Analysis
E. Haddi, Xiaohui Liu, Yong Shi
Procedia Computer Science (2013) Vol. 17, pp. 26-32
Open Access | Times Cited: 583
Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
Pete Burnap, Matthew Williams
Policy & Internet (2015) Vol. 7, Iss. 2, pp. 223-242
Open Access | Times Cited: 572
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel, Nathan Schneider, Brendan O’Connor, et al.
(2010)
Open Access | Times Cited: 494
Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp
Sophie F Waterloo, Susanne E. Baumgartner, Jochen Peter, et al.
New Media & Society (2017) Vol. 20, Iss. 5, pp. 1813-1831
Open Access | Times Cited: 475
Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
M. Ghiassi, J.F. Skinner, David Zimbra
Expert Systems with Applications (2013) Vol. 40, Iss. 16, pp. 6266-6282
Closed Access | Times Cited: 471
Measuring Emotional Contagion in Social Media
Emilio Ferrara, Zeyao Yang
PLoS ONE (2015) Vol. 10, Iss. 11, pp. e0142390-e0142390
Open Access | Times Cited: 441
Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research
Bongsug Chae
International Journal of Production Economics (2015) Vol. 165, pp. 247-259
Closed Access | Times Cited: 431
Sentiment analysis in Twitter
Eugenio Martínez‐Cámara, María Teresa Martín Valdivia, Luís Alfonso Ureña López, et al.
Natural Language Engineering (2012) Vol. 20, Iss. 1, pp. 1-28
Closed Access | Times Cited: 346
Sentiment Analysis
Saif M. Mohammad
Elsevier eBooks (2016), pp. 201-237
Closed Access | Times Cited: 341
Big Data and supply chain management: a review and bibliometric analysis
Deepa Mishra, Angappa Gunasekaran, Θάνος Παπαδόπουλος, et al.
Annals of Operations Research (2016) Vol. 270, Iss. 1-2, pp. 313-336
Closed Access | Times Cited: 318
CSR communication strategies for organizational legitimacy in social media
Elanor Colleoni
Corporate Communications An International Journal (2013) Vol. 18, Iss. 2, pp. 228-248
Closed Access | Times Cited: 301
On predicting the popularity of newly emerging hashtags in Twitter
Zongyang Ma, Aixin Sun, Gao Cong
Journal of the American Society for Information Science and Technology (2013) Vol. 64, Iss. 7, pp. 1399-1410
Closed Access | Times Cited: 238
A sentiment-enhanced personalized location recommendation system
Dingqi Yang, Daqing Zhang, Zhiyong Yu, et al.
(2013), pp. 119-128
Closed Access | Times Cited: 222
Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers
Younggue Bae, Hong-Chul Lee
Journal of the American Society for Information Science and Technology (2012) Vol. 63, Iss. 12, pp. 2521-2535
Closed Access | Times Cited: 220
Stream-based active learning for sentiment analysis in the financial domain
Jasmina Smailović, Miha Grćar, Nada Lavrač, et al.
Information Sciences (2014) Vol. 285, pp. 181-203
Closed Access | Times Cited: 217
Twitter sentiment analysis with a deep neural network: An enhanced approach using user behavioral information
Ahmed Alharbi, Elise de Doncker
Cognitive Systems Research (2018) Vol. 54, pp. 50-61
Closed Access | Times Cited: 209
Page 1 - Next Page

Scroll to top