Using support vector machine ensembles for target audience classification on Twitter

• Main Authors: LO, Siaw Ling, CHIONG, Raymond, CORNFORTH, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Blogging; Data Mining; Marketing; Social Media; Support Vector Machine; Computer Engineering; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/5906; https://ink.library.smu.edu.sg/context/sis_research/article/6904/viewcontent/LoSiawLing_2015_Using_SVM_ensembles_for_target_audience_classification_on_Twitter.pdf
• Institution: Singapore Management University

The vast amount and diversity of the content shared on social media can pose a challenge for any business wanting to use it to identify potential customers. In this paper, our aim is to investigate the use of both unsupervised and supervised learning methods for target audience classification on Twi...