Using Support Vector Machine Ensembles for Target Audience Classification on Twitter-Reference-Cited by-同舟云学术

Using Support Vector Machine Ensembles for Target Audience Classification on Twitter

Published:2015-04-13 Issue:4 Volume:10 Page:e0122855
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Lo Siaw Ling,Chiong Raymond,Cornforth David

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference39 articles.

1. IAB UK—Unlocking the Power of Social Media. Available: http://www.iabuk.net/blog/unlocking-the-power-of-social-media. Accessed 4 July 2013.

2. UMass Dartmouth—2013 Fortune 500. Available: http://www.umassd.edu/cmr/socialmediaresearch/2013fortune500/. Accessed 15 June 2014.

3. How Many People Use Facebook, Twitter and 415 of the Top Social Media, Apps & Tools? Available: http://expandedramblings.com/index.php/resource-how-many-people-use-the-top-social-media/#.Uz0f4Vc4t5E. Accessed 30 April 2014.

4. Solving multiclass learning problems via error-correcting output codes;TG Dietterich;ArXiv Prepr,1995

5. Latent dirichlet allocation;DM Blei;J. Mach. Learn. Res,2003

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian-optimized extreme gradient boosting models for classification problems: an experimental analysis of product return case;Journal of Systems and Information Technology;2024-09-03

2. Opinion mining and machine learning analysis : What emotions twitter data tell us about telemedicine?;Journal of Statistics and Management Systems;2024

3. Natural Language Processing for Marketing;2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS);2023-12-14

4. The Marketing and Perceptions of Non-Tobacco Blunt Wraps on Twitter;Substance Use & Misuse;2023-11-20

5. Online Advertising Dataset Using ANN (Artificial Neural Networks) and LR (Linear Regression Techniques);Intelligent Computing and Communication;2023