Spam review detection using LSTM autoencoder: an unsupervised approach

The review of online products or services is becoming a major factor in the user’s purchasing decisions. The popularity and influence of online reviews attract spammers who intend to elevate their products or services by writing positive reviews for them and lowering the business of others by writin...

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Veröffentlicht in:	Electronic commerce research Jg. 22; H. 1; S. 113 - 133
Hauptverfasser:	Saumya, Sunil, Singh, Jyoti Prakash
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2022 Springer Springer Nature B.V
Schlagworte:	Business and Management Classification Computer Communication Networks Data Structures and Information Theory Datasets e-Commerce/e-business IT in Business Machine learning Operations Research/Decision Theory Spam (Junk email) Unsupervised learning Long short-term memory E-commerce Autoencoder neural network Spam detection Unsupervised learning Machine learning
ISSN:	1389-5753, 1572-9362
Online-Zugang:	Volltext
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