Turkish Keyword Extraction and Detection

This project is developed for extracting and detecting keywords from Turkish texts using the KeyBERT framework.

Project Description

The project aims to perform keyword extraction and detection in Turkish texts using the open-source Python library, KeyBERT. KeyBERT utilizes a BERT (Bidirectional Encoder Representations from Transformers) based model to identify important words in texts.

Features

• Extraction of keywords from Turkish texts
• Detection of significant words in a given text
• Customization options for various parameters provided by KeyBERT

How to Use

1. Clone the project repository to your local machine:

git clone https://github.com/tanersekmen/keyword-detection.git

pip install -r requirements.txt

For more usage and customization options, refer to the KeyBERT Documentation.

License

This project is licensed under the Apache-2.0 license.

data reference: https://www.kaggle.com/datasets/emrahaydemr/turkish-news-texts