BERT Question Category Classification: Bloom's Taxonomy
Budget: ₹1,500 – ₹12,500 INR
In this project, I'll require a skilled coder to train a BERT model for categorizing questions into Bloom's Taxonomy on custom datasets I have. Also need to compare results by training same model using LSTM with Wiki Word Embeddings. These categories aren't traditional ones, instead, they are based on Bloom's Taxonomy. More specifically, the machine learning model should be able to sort topics into the following categories:
- Remembering
- Understanding
- Application
- Analysis
- Evaluation
- Creation
The ideal candidate for this project has significant experience with BERT and text classification tasks, and an understanding of Bloom's Taxonomy. Having a background in education and pedagogy would be a plus, but is not necessary. Nonetheless, it's essential that the freelancer has a solid grasp of machine learning and NLP techniques, and can approach this unconventional categorization task with creativity and critical thinking.
- Remembering
- Understanding
- Application
- Analysis
- Evaluation
- Creation
The ideal candidate for this project has significant experience with BERT and text classification tasks, and an understanding of Bloom's Taxonomy. Having a background in education and pedagogy would be a plus, but is not necessary. Nonetheless, it's essential that the freelancer has a solid grasp of machine learning and NLP techniques, and can approach this unconventional categorization task with creativity and critical thinking.