Closed ubaid2751 closed 4 days ago
Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊
Note: This repo is for beginners to learn and start with Opensource we won't accept more than 10 issues from a single person, This restriction applies to Gssoc project which has a similar kind of adding folder files, Points will be reduced when we find Spam.
I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.
You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
@sanjay-kv Is it assigned?
thanks for reminding. i forgot
Hello @ubaid2751! Your issue #478 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
Implement a word embedding generation system using Pytorch only. This feature should allow users to generate word embeddings from a corpus of text and save them in a format that can be easily integrated into various machine-learning models.
Use Case
This feature would enhance the project by allowing users to generate high-quality word embeddings for natural language processing tasks. Word embeddings are crucial for capturing semantic relationships between words, which can improve the performance of text-based models
Benefits
Improved Text Processing: Better word embeddings improve model performance in NLP tasks such as text classification, sentiment analysis, and named entity recognition. Flexibility: Users can generate embeddings tailored to their specific datasets and use cases. Ease of Use: Simplifies the process of generating and using word embeddings, making it more accessible to users with varying levels of expertise.
Add ScreenShots
N/A
Priority
High
Record