On 11/2/2023, the British Scientific Journal Advances in Human-Computer Interaction published a scientific paper by the researchers: Eng. Majd Tannous and Dr. Wassim Ramadan from the Faculty of Engineering at Al-Wataniya Private University and Dr. Muhannad Rajab from the Faculty of Informatics Engineering, Al-Baath University, entitled:

 TSHD: Topic Segmentation Based on Headings Detection (Case Study: Resumes)

 As the magazine falls within the second quarter, Q2, according to Scopus classification

The research presents a new algorithm called TSHD that extracts passages from text documents and identifies their topics, which helps in accessing the required information directly.  This improves the quality of many natural language processing applications such as information extraction, information retrieval, summarization, and question answering.

The proposed TSHD algorithm is accurate and addresses several weaknesses of previous studies.  The algorithm was applied to extract clips from CVs, where the evaluation results gave a very high F1-score value (about 96%) and a very low clipping error value (about 2%).  The algorithm can be easily adapted to handle tracking scripts for different domains that contain URLs for their segments.

You can view the research through the link attached below:

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