Split over-training for unsupervised purchase intention identification

Recognizing user-expressed intentions in social media can be useful for many applications such as business intelligence, as intentions are intimately linked to potential actions or behaviors. This paper focuses on a binary classification problem: whether a text expresses purchase intention (PI) or n...

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Bibliographic Details
Main Authors: Abd Yusof, Noor Fazilla, Lin, Chenghua, Han, Xiwu, Barawi, Mohamad Hardyman
Format: Article
Language:English
Published: World Academy of Research in Science and Engineering 2020
Online Access:http://eprints.utem.edu.my/id/eprint/24902/2/IJATCSE214932020.PDF
http://eprints.utem.edu.my/id/eprint/24902/
http://www.warse.org/IJATCSE/static/pdf/file/ijatcse214932020.pdf
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Institution: Universiti Teknikal Malaysia Melaka
Language: English

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