Project information

• Category: Natural Language Processing
• Project date: July 2022
• Project URL: github.com/GeraldPlakasa/Keyword-Extraction-Yake

     Within the realm of academic journal publications, the extraction of keywords plays a vital role in aiding reviewers during the correction process, ensuring that the scientific manuscripts accepted for publication are precisely targeted. To facilitate this endeavor, a sophisticated Keyword Extraction system has been meticulously developed. This system, constructed using the Python programming language, adheres to the statistical formula outlined by Yake (Yet Another Keyphrase Extraction), a renowned methodology for extracting key phrases from textual data.

     This portfolio entry showcases the implementation of the Keyword Extraction system, designed to enhance the accuracy and effectiveness of the reviewing process for scientific publications. By utilizing the power and versatility of Python, the system offers a robust and efficient solution. It follows the statistical principles set forth by Yake, ensuring that the extracted keywords provide valuable insights and assist reviewers in their meticulous evaluation of scholarly manuscripts.