Vectorize: Simple Word2Vec Implementation

Description

Vectorize is a straightforward Python project that offers a simplified implementation of Word2Vec, a fundamental technique in Natural Language Processing (NLP).

Getting Started

Usage

• Installation: Clone the repository and install the necessary dependencies.

• Data Preparation: Prepare your text data for training.

• Model Training: Utilize the provided script to train the Word2Vec model.

• Applying Word Embeddings: Generate word embeddings for any word in your dataset.

• Integration: Easily integrate these word embeddings into your NLP projects and applications.

Contributions

• Contributions, bug reports and suggestions are welcome. Please feel free to open issues or submit pull requests for enhancements or bug fixes.

Acknowledgments

Inspiration, code snippets, etc.

• Unfold Data Science
• Telusko