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Custom classification algorithm to sense the bots vs human on social media space like twitter
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Readme.md

Detecting Bots on Twitter Using Machine Learning

Twitter bot is a program used to produce automated posts, follow Twitter users or serve as spam to entice clicks on the Twitter microblogging service. In this project, we will use Machine Learning techniques to predict weather an account on Twitter is a Bot or a real user. We have performed significant amount of feature engineering, along with feature extraction - selected features out of 20 helped us to identify whether an account is bot or non bot. We implemented various algorithm but finally implemented our own which gave us AUC>95%.

Table of Contents

1. Depenedencies

Python 3, Pandas, Numpy, Seaborn, MatplotLib, Sklearn

2. Code

The code and datasets can be found under 'Final Project and Code' folder.

3. Video Link

https://www.youtube.com/embed/bRjxeovhL50?ecver=2

Thank you

Thank you for visiting this repository and looking at this project. Please feel free to contribute and take our analysis further.

MIT License

Copyright (c) 2017 Jubins, Tushar, and Balaji

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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