reorganized files and implemented VADER and BilSTM, both of which need more work

[Vsyengo]

No description provided.

[Copilot]

Pull Request Overview

This PR reorganizes the project structure and adds implementations for VADER and a BiLSTM sentiment analysis model, along with updates to the BERT components for climate analysis.

• Added a new VADER-based sentiment analysis module.
• Introduced BiLSTM modules including dataset, training, evaluation, and model definition with GloVe embedding integration.
• Updated BERT model import paths to reflect the new repository structure.

Reviewed Changes

Copilot reviewed 16 out of 16 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
models/VADER/vader.py	Introduced a new VADER sentiment analysis implementation.
models/BilSTM/utils.py	Added utility function for loading GloVe embeddings.
models/BilSTM/train.py	Added training loop for BiLSTM, but with an argument mismatch issue.
models/BilSTM/model.py	Defined the BiLSTM model using frozen pre-trained embeddings.
models/BilSTM/main.py	Integrated data loading, training, and evaluation for BiLSTM.
models/BilSTM/evaluate.py	Provided model evaluation, confusion matrix plotting, and metrics.
models/BilSTM/dataset.py	Defined a custom dataset for tweet sentiment data.
models/BERT/*	Updated import paths and maintained utility functions for BERT.

[Copilot]

The call to train_model passes a 'criterion' argument, but the definition in models/BilSTM/train.py does not accept it. Update the train_model function to accept the criterion parameter or remove the extra argument from the call to ensure consistent API usage.