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Distributional Footprints of Deceptive Product Reviews

Published on Jul 06, 20123174 Views

Song Feng

This paper postulates that there are natural distributions of opinions in product reviews. In particular, we hypothesize that for a given domain, there is a set of representative distributions of revi

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Related categories

DatabasesInternet, World Wide WebInformation Society

Chapter list

Distributional Footprints of Deceptive Product Reviews00:00
Motivation (1)00:06
Motivation (2)00:12
Motivation (3)00:18
Motivation (4)00:35
Motivation (5)00:50
Motivation (6)01:15
Motivation (7)01:21
Motivation (8)01:27
Motivation (9)01:32
Motivation (10)01:51
Motivation (11)02:05
Motivation (12)02:27
Motivation (13)02:46
Motivation (14)03:04
Motivation (15)03:10
Motivation (16)03:30
Data (1)03:38
Data (2)03:56
Data (3)04:13
Data (4)04:22
Rating Distribution (Yearly) (1)04:47
Rating Distribution (Yearly) (2)05:17
Rating Distribution (Yearly) (3)05:33
Related Work I06:16
Related Work II06:46
Related Work III07:02
Related Work IV07:41
Three Contributions (1)08:26
Three Contributions (2)09:02
Rating Distribution (1)09:11
Rating Distribution (2)09:16
Rating Distribution (3)09:26
Rating Distribution (4)09:37
Rating Distribution (5)09:52
Rating Distribution (6)09:53
Rating Distribution (7)09:55
Rating Distribution (8)09:56
Rating Distribution (9)09:57
Distribution of 𝑫 Distributional (1)10:01
Distribution of 𝑫 Distributional (2)10:17
Distribution of 𝑫 Distributional (3)10:28
Distribution of 𝑫 Distributional (4)10:33
Distribution of 𝑫 Distributional (5)10:44
Distribution of 𝑫 Distributional (6)10:53
Distribution of 𝑫 Distributional (7)10:59
Distribution of 𝑫 Distributional (8)11:04
Distribution of 𝑫 Distributional (9)11:09
Distribution of 𝑫 Distributional (10)11:15
Distribution of 𝑫 Distributional (11)11:37
Distribution of 𝑫 Distributional (12)12:12
Distribution of 𝑫 Distributional (13)12:15
More (colorful) details in the paper!12:30
Three Contributions12:42
Strategies: Suspicious Hotels (1)12:55
Strategies: Suspicious Hotels (2)13:03
Strategies: Suspicious Hotels (3)13:26
Strategies: Suspicious Hotels (4)13:54
Three Contributions14:18
Pseudo-Gold Standard Data (1)14:25
Pseudo-Gold Standard Data (2)14:46
Pseudo-Gold Standard Data (3)14:55
Pseudo-Gold Standard Data (4)15:11
Pseudo-Gold Standard Data (5)15:32
Pseudo-Gold Standard Data (6)15:52
Evaluation via Machine Learning (1)15:59
Evaluation via Machine Learning (2)16:37
Evaluation via Machine Learning (3)16:49
Evaluation: Three Strategies (1)17:05
Evaluation: Three Strategies (2)17:33
Evaluation: Three Strategies (3)17:54
Evaluation: Three Strategies (4)18:14
Evaluation: Three Strategies (5)18:34
Conclusion18:57
Questions? Thank you!!!20:04
blank slide20:09