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Title: Spam detection
Authors: Long, Keith Jianming.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2013
Abstract: Many online review systems have been very popular nowadays because of Web 2.0. People make decisions on what to buy/consume based on online reviews written by the public. However, spamming reviews may be provided to promote or demote some products intentionally. This project will implement an algorithm to detect spam reviews and test it on some data collected from popular online review systems.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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