NLP_project_Fall_22

Class project Repository for Natural Language Processing - CSCI 334901, Fall 2022

Project Description:

In this project, we aim to use larger datasets and train different models to see which one or which integration would be the best for automatic detection of Extraversion/Introversion, Sensing/Intuition, Thinking/Feeling, Judgement/Perception.

Contributers:

Qingwan (Cecelia) Cheng | chengqf@bc.edu

Yi Li | licds@bc.edu

Riteng (Gavin) Zhang | zhangcoj@bc.edu

Qiyuan (Kian) Zhou | zhouaad@bc.edu

Yifan (Evan) Zhou | zhouvp@bc.edu

Project Progress:

Dataloader Built

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
balanced_datasets		balanced_datasets
(afterextractfeature_astensor_EI)8000as50_8000_4as4model(EI) (2).ipynb		(afterextractfeature_astensor_EI)8000as50_8000_4as4model(EI) (2).ipynb
(afterextractfeature_astensor_EI_pooler)8000as8000_4as4model(EI).ipynb		(afterextractfeature_astensor_EI_pooler)8000as8000_4as4model(EI).ipynb
(extractfeature)8000as8000_4as4model(EI) (1).ipynb		(extractfeature)8000as8000_4as4model(EI) (1).ipynb
(tokenizedwithbert, butlstmmodel)8000as50_8000_4as4model(EI).ipynb		(tokenizedwithbert, butlstmmodel)8000as50_8000_4as4model(EI).ipynb
1.ipynb		1.ipynb
2.ipynb		2.ipynb
2withcfg (1).ipynb		2withcfg (1).ipynb
2withcfg.ipynb		2withcfg.ipynb
8000as8000_4as4model(EI).ipynb		8000as8000_4as4model(EI).ipynb
8000as8000_4in1model.ipynb		8000as8000_4in1model.ipynb
Bi_LSTM.ipynb		Bi_LSTM.ipynb
EDA.py		EDA.py
EI (1).ipynb		EI (1).ipynb
EI.ipynb		EI.ipynb
EI_huggingtrainer (2) (1).ipynb		EI_huggingtrainer (2) (1).ipynb
EI_huggingtrainer_distilbert.ipynb		EI_huggingtrainer_distilbert.ipynb
KerasBertClassifier4models.ipynb		KerasBertClassifier4models.ipynb
README.md		README.md
Traditional_Models.ipynb		Traditional_Models.ipynb
_(afterextractfeature_astensor_EI)8000as8000_4as4model(EI) (2).ipynb		_(afterextractfeature_astensor_EI)8000as8000_4as4model(EI) (2).ipynb
_(extractfeature)8000as50_8000_4as4model(EI) (1).ipynb		_(extractfeature)8000as50_8000_4as4model(EI) (1).ipynb
dataset2dataloader(tokenized).ipynb		dataset2dataloader(tokenized).ipynb
english.txt		english.txt
lstm (2).ipynb		lstm (2).ipynb
lstm.ipynb		lstm.ipynb
lstm_with_bert_embedding.ipynb		lstm_with_bert_embedding.ipynb
stack5_ffn_opened_EI_huggingtrainer.ipynb		stack5_ffn_opened_EI_huggingtrainer.ipynb
stack5_ffn_opened_FT_huggingtrainer.ipynb		stack5_ffn_opened_FT_huggingtrainer.ipynb
stack5_ffn_opened_JP_huggingtrainer.ipynb		stack5_ffn_opened_JP_huggingtrainer.ipynb
stack5_ffn_opened_NS_huggingtrainer.ipynb		stack5_ffn_opened_NS_huggingtrainer.ipynb
unban_EI_huggingtrainer.ipynb		unban_EI_huggingtrainer.ipynb
wordEmbedding.txt.zip		wordEmbedding.txt.zip

YifanZhou1999/NLP_project_Fall_22

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NLP_project_Fall_22

Project Description:

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