mattesko COMP550-Project issues

mattesko / COMP550-Project

Fake news text classification project for the McGill COMP 550 Natural Language Processing course.

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Use a pretrained model released by a paper in our lit review

#18 violetguos opened 4 years ago
1
Data description (more plots)

#17 violetguos opened 4 years ago
0
Develop simple FC MLP with TF IDF features

#16 violetguos opened 4 years ago
2
Preprocess claim, claimant and article contents

#15 mattesko closed 4 years ago
0
Concatenate article text with metadata and pickle into a dataframe

#14 mattesko closed 4 years ago
1
Develop LCCRF model after feature engineering

#13 violetguos opened 4 years ago
0
Implement a pre-trained deep-learning model (such as BERT, XML, etc.)

#12 mattesko closed 4 years ago
0
Clean repo and create folder structure

#11 egproulx closed 4 years ago
1
Create model analysis script

#10 egproulx opened 4 years ago
2
Split data into train, development and test

#9 egproulx closed 4 years ago
1
Create feature engineering script

#8 egproulx opened 4 years ago
2
Evaluate how transfert learning could be done for this particular task

#7 egproulx opened 4 years ago
0
Predict missing metadata and evaluate model performance

#6 egproulx opened 4 years ago
0
Implement Bi-LSTM with attention as presented in (Yang et al., 2016)

#5 egproulx opened 4 years ago
0
Create reports in overleaf with approriate format and sections

#4 egproulx opened 4 years ago
0
First Draft: Literature review

#3 egproulx opened 4 years ago
0
Develop a Naive Bayes model

#2 egproulx opened 4 years ago
0
Develop baseline model

#1 egproulx opened 4 years ago
3