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Spam Slayer is a web app used to detect deceptions from Amazon products' reviews. Users can copy a link to the product and paste directly paste it to my page. Using my trained deep learning model, Spam Slayer will distinguish between true/fake reviews and show them an adjusted rating without fake reviews.

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akshatvg/Spam-Slayer

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Spam Slayer

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Spam Slayer is a web app used to detect deceptions from Amazon products' reviews. Users can copy a link to the product and paste directly paste it to my page. Using my trained deep learning model, Spam Slayer will distinguish between true/fake reviews and show them an adjusted rating without fake reviews.

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Requirements

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The source code of this project is written in HTML/CSS/JS, Flask (Python) and IBM Watson. So, you will need to install the requirements as well as generate an API key after registering on IBM Watson.

Instructions to run

$ git clone https://github.com/akshatvg/Spam-Slayer
$ cd Spam-Slayer
$ pip3 install -r requirements.txt
$ python3 app.py

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\____/ \___|_|_| |_|\__, | \_| |_/\___|_|  \___(_)
                     __/ |                        
                    |___/                         

 

License

MIT © Akshat Gupta

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Spam Slayer is a web app used to detect deceptions from Amazon products' reviews. Users can copy a link to the product and paste directly paste it to my page. Using my trained deep learning model, Spam Slayer will distinguish between true/fake reviews and show them an adjusted rating without fake reviews.

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