Detection of fake Re-tweeters and Mis-use of trending #HashTag in Twitter using Machine Learning, Topic Modelling (NLP) and Deep Learning Techniques

Install all the packages to your virtual environment or anaconda.

Reasearch Paper : https://ieeexplore.ieee.org/document/9824364

pip3 install -r requirements.txt

!! There are README.md in every folder that explains the specific task and how to use the module as well.

Important Versions of technologies used :

• Tensor-Flow 2.4.1
• Tensor-Flow-GPU 2.4.1 (Optional)
• CUDA TOOLKIT 11.1 (Optional)
• CUDNN 8.0 (Optional)
• Nvidia GEFORCE Drivers 471.96 (Optional)
• Pytorch 1.9.0+cu111

Series Of Steps in the Process :

• Data Collection
• Data Cleaning
• Visualization on Data
• Annotating the Data
• Building the Model
• Training and Testing the Data

Types of Models used :

• Hawkes Process
• LDA
• KNN
• SVM
• Naive Bayes
• Fully Connected NN
• LSTM NN
• Bi-LSTM NN
• Word2Vec

Refrences

1. https://x-datainitiative.github.io/tick/modules/hawkes.html
   
2. https://pytorch.org/docs/stable/index.html
3. https://radimrehurek.com/gensim/models/ldamodel.html