Here is the Yujie Chen Final Year Project.

Here is file structure

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├── README.md
|––––Trainscript
|    |----- Train scrpit for train bert model
├── classifcation_script: all file in git hub # The folder of  script of unzip, create data and classification data to corpus
│   ├── classification.py
│   ├── createRedditDataframe.py
│   ├── createTweetDataframe.py
│   ├── helperScript.py
│   ├── toxic_Bert_model
│   │   └── readme.rtf
│   └── unzipScript.py
├── collect_training_data.ipynb     # the script of trianing data of my toxic bert
└── word_embedding   : all file in git hub      # word embedding and analysis folder
    ├── AnalysisWord2Vec.ipynb
    ├── Analysis_twitter.ipynb
    ├── NormalisedPPMI.ipynb
    ├── SVM_classifer_visual.ipynb
    ├── coefs_with_fns_2023.pkl 
    ├── embedding_result_Reddit 
    │   ├── GloVe.txt
    │   ├── PPMI.txt
    │   └── word2vec.txt
    ├── embedding_result_twitter 
    │   ├── GloVe.txt
    │   ├── PPMI.txt
    │   └── word2vec.txt
    └── gloVe.ipynb

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