Closed Salma-Mamdoh closed 2 months ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊
@abhisheks008 , 👋 Hey bro can you please assign me this issue under GSSoC'24 with an appropriate level tag
Can you please the models you are planning to implement for this problem statement?
Mention at least 3-4 models for this project.
Please assign this issue to me
I am planning to try Long Short-Term Memory (LSTM) Network, Gated Recurrent Unit (GRU) Network, Transformer Model and Convolutional Neural Network (CNN) for Text
Hi @ojaswichopra based on your approach this issue is assigned to you.
Hello @ojaswichopra! Your issue #794 has been closed. Thank you for your contribution!
🔴 Project Title: Automated Essay Scoring with Deep Learning Models
🔴 Aim: Develop deep learning models to automatically score student essays, aiming to reduce grading time and provide consistent feedback.
🔴 Dataset: Utilize the provided dataset of student essays aligned with educational standards https://www.kaggle.com/competitions/learning-agency-lab-automated-essay-scoring-2/data
🔴 Approach: Perform exploratory data analysis (EDA) on the dataset to understand its characteristics and prepare it for modeling. Implement 3-4 deep learning algorithms such as LSTM, GRU, Transformer, and possibly others. Compare these algorithms based on their performance metrics, particularly focusing on metrics like quadratic weighted kappa for evaluation.
📍 Follow the Guidelines to Contribute in the Project:
Model
folder, ensure theREADME.md
file is filled with visualizations and conclusions.🔴🟡 Points to Note:
✅ To be Mentioned while taking the issue:
Happy Contributing! 🚀
All the best. Enjoy your open source journey ahead. 😎