https://github.com/LCS2-IIITD/DeFrauder

https://github.com/LCS2-IIITD/DeFrauder

Last synced: 25 days ago
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• Host: GitHub
• URL: https://github.com/LCS2-IIITD/DeFrauder
• Owner: LCS2-IIITD
• License: mit
• Created: 2019-06-15T11:37:18.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-07-25T05:38:07.000Z (over 2 years ago)
• Last Synced: 2024-08-03T18:16:20.132Z (4 months ago)
• Language: Python
• Size: 803 KB
• Stars: 19
• Watchers: 2
• Forks: 8
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Spotting Collective Behaviour of Online Frauds in Customer Reviews

This is the code for the paper titled

**Spotting Collective Behaviour of Online Frauds in Customer Reviews. Sarthika Dhawan\*, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty**

accepted at [28th International Joint Conference on Artificial Intelligence](https://ijcai19.org/). 

# Quick Start

## Requirements

* Python

To install the dependencies used in the code, you can use the __requirements.txt__ file as follows -

```

pip install -r requirements.txt

```

## Running the code

Run the ```detection.py``` followed by ```refine_groups.py``` as follows - 

```

python detection.py

```

The agruments it takes are (All are mandatory):

   - ```--metadata```: Path to metadata for the particular dataset.

   - ```--rc```: Path to review content for the particular dataset. 

   - ```--dg```: Path to save the groups detected (json format). 

```

python refine_groups.py

```  

The agruments it takes are (All are mandatory):

   - ```--metadata```: Path to metadata for the particular dataset.

   - ```--rc```: Path to review content for the particular dataset. 

   - ```--groups```: Path to groups generated by ```detection.py```.

   - ```--outputgroups```: Path to save the output groups (json format).

This will generate fraud reviewer groups for the particular dataset.

Run the ```ranking.py``` as follows - 

```

python ranking.py

```

The agruments it takes are (All are mandatory):

   - ```--groups```: Path to groups generated by ```refine_groups.py```.

   - ```--ef```: Path to reviewer embeddings.

   - ```--rankedgroups```: Ranked group IDs (txt format, line separated IDs). 

    

This will rank fraud reviewer groups for the particular dataset.


Provide appropriate paths for data files and parameters.

# Contact

If you face any problem in running this code, you can contact us at sarthika15170\[at\]iiitd\[dot\]ac\[dot\]in.

# License

For copyright (c) Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty

For license information, see [LICENSE](LICENSE) or http://mit-license.org