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Sentence Auto Completion using LSTM #840
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Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊 |
LSTM is the most used model for this kind of problem statement, apart from it, what are the models you can apply for this problem statement. Need to share at least 3-4 architectures along with LSTM. |
I can try GRU, Transformer and BERT pls assign it me @abhisheks008 |
Assigned @ashis2004. Make sure you implement all the mentioned the models from your side. |
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Sentence Auto completion using LSTM
🔴 Aim :LSTM-based sentence auto-completion is in text editors and word processing software, where it enhances user productivity by suggesting the next word or phrase, thereby reducing typing effort. It can also be integrated into email clients to offer smart replies or in code editors to assist with code completion.
🔴 Dataset :https://www.kaggle.com/datasets/noorsaeed/holmes
🔴 Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
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