Use of a high-value social audience index for target audience identification on Twitter
With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. This is mainly due to the challenge of extracting commercially viable contents from the vast amount of free-form conversations. In this paper, we analyse the Twitter content of...
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sg-smu-ink.sis_research-71102021-09-29T12:33:10Z Use of a high-value social audience index for target audience identification on Twitter LO, Siaw Ling CORNFORTH, David CHIONG, Raymond. With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. This is mainly due to the challenge of extracting commercially viable contents from the vast amount of free-form conversations. In this paper, we analyse the Twitter content of an account owner and its list of followers through various text mining methods and segment the list of followers via an index. We have termed this index as the High-Value Social Audience (HVSA) index. This HVSA index enables a company or organisation to devise their marketing and engagement plan according to available resources, so that a high-value social audience can potentially be transformed to customers, and hence improve the return on investment. 2015-02-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6107 info:doi/10.1007/978-3-319-14803-8_25 https://ink.library.smu.edu.sg/context/sis_research/article/7110/viewcontent/LoSiawLing_2015_Use_of_high_value_social_audience_index.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Twitter Topic modelling Machine learning Audience segmentation. Databases and Information Systems Social Media |
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Twitter Topic modelling Machine learning Audience segmentation. Databases and Information Systems Social Media LO, Siaw Ling CORNFORTH, David CHIONG, Raymond. Use of a high-value social audience index for target audience identification on Twitter |
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With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. This is mainly due to the challenge of extracting commercially viable contents from the vast amount of free-form conversations. In this paper, we analyse the Twitter content of an account owner and its list of followers through various text mining methods and segment the list of followers via an index. We have termed this index as the High-Value Social Audience (HVSA) index. This HVSA index enables a company or organisation to devise their marketing and engagement plan according to available resources, so that a high-value social audience can potentially be transformed to customers, and hence improve the return on investment. |
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text |
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LO, Siaw Ling CORNFORTH, David CHIONG, Raymond. |
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LO, Siaw Ling CORNFORTH, David CHIONG, Raymond. |
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LO, Siaw Ling |
title |
Use of a high-value social audience index for target audience identification on Twitter |
title_short |
Use of a high-value social audience index for target audience identification on Twitter |
title_full |
Use of a high-value social audience index for target audience identification on Twitter |
title_fullStr |
Use of a high-value social audience index for target audience identification on Twitter |
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Use of a high-value social audience index for target audience identification on Twitter |
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use of a high-value social audience index for target audience identification on twitter |
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Institutional Knowledge at Singapore Management University |
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2015 |
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https://ink.library.smu.edu.sg/sis_research/6107 https://ink.library.smu.edu.sg/context/sis_research/article/7110/viewcontent/LoSiawLing_2015_Use_of_high_value_social_audience_index.pdf |
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