ukss 0.1.0

A library that extracts keywords and summarizes text

UKSS-PI

Unsupervised Keyword Scoring System with PageRank Integration

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Description

UKSS-PI is an unsupervised keyword scoring system that uses both statistical methods and graphical (PageRank) approaches to rank keywords in a given text. It’s designed to identify and score relevant keywords without the need for pre-labeled data, combining traditional keyword extraction techniques with PageRank to boost precision and relevance.

Installation

1. Clone the repository:

   git clone https://github.com/Kasmik004/UKSS-PI.git
   

2. Navigate into the directory:

   cd UKSS-PI
   

3. Install dependencies:

   pip install -r requirements.txt
   

Usage

1. Replace the text inside test.py with the text you want to analyze.
2. Run the script:

   python3 test.py
   

This will execute the analysis on your input text and output the extracted and scored keywords.

Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss the changes you'd like to make.

When contributing, please ensure:

• Tests are added or updated to reflect the changes.
• Documentation is updated if the code change introduces new features or modifies existing functionality.

References

Wang, J., Liu, J., & Wang, C. (2007). Keyword Extraction Based on PageRank. In: Zhou, ZH., Li, H., Yang, Q. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2007. Lecture Notes in Computer Science, vol 4426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71701-0_95

License

This project is licensed under the Apache 2.0 license.

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