Split Over-Training for Unsupervised Purchase Intention Identification

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) o...

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Bibliographic Details
Main Authors: Abd Yusof, Noor Fazilla, Lin, Chenghua, Han, Xiwu, Barawi, Mohamad Hardyman
Format: E-Article
Language:English
Published: The World Academy of Research in Science and Engineering 2020
Subjects:
BF Psychology
QA75 Electronic computers. Computer science
Online Access:http://ir.unimas.my/id/eprint/30325/1/Split%20Over-Training%20for%20Unsupervised%20Purchase%20Intention%20Identification_abstract.pdf
http://ir.unimas.my/id/eprint/30325/
http://www.warse.org/
https://doi.org/10.30534/ijatcse/2020/214932020
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Institution: Universiti Malaysia Sarawak
Language: English

Internet

http://ir.unimas.my/id/eprint/30325/1/Split%20Over-Training%20for%20Unsupervised%20Purchase%20Intention%20Identification_abstract.pdf
http://ir.unimas.my/id/eprint/30325/
http://www.warse.org/
https://doi.org/10.30534/ijatcse/2020/214932020

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