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Collaborative response writing (CREW) data contains a discussion data (CREW data tab) whose result was a final response (CREW final responses tab). Apart from this setting discussion only without final collaborative response is available (Discussion only data) to compare settings.

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k-suler/NLP-IMapBook

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NLP-IMapBook

Collaborative response writing (CREW) data contains a discussion data (CREW data tab) whose result was a final response (CREW final responses tab). Apart from this setting discussion only without final collaborative response is available (Discussion only data) to compare settings.

This project implements different ml algorithms for classification.

  • Naive Bayes
  • SVM
  • Logistic regression
  • Neural network
  • Multi layered perceptron and
  • Deep neural network

Authors

  • Tara Patricija Bosil (6316008)
  • Kristijan Šuler (63150288) and
  • Miha Arh (63150039)

Project structure

  • Project report is in folder report
  • Data folder contains datasets

Usage

To test and run models you need to first install requirements:

pip install -r requirements.py

and then run:

python run_models.py

for baseline models, advanced models and neural networks .

And for BERT run:

python run_bert.py

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Collaborative response writing (CREW) data contains a discussion data (CREW data tab) whose result was a final response (CREW final responses tab). Apart from this setting discussion only without final collaborative response is available (Discussion only data) to compare settings.

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