A Novel Approach for Semantic Extractive Text Summarization

• Main Authors: Waseemullah, Zainab Fatima, Shehnila Zardari, Muhammad Fahim, Maria Andleeb Siddiqui, Ag. Asri Ag. Ibrahim, Kashif Nisar, Laviza Falak Naz
• Format: Article
• Language: English; English
• Published: MDPI AG, Basel, Switzerland 2022
• Subjects: QA75.5-76.95 Electronic computers. Computer science
• Online Access: https://eprints.ums.edu.my/id/eprint/33238/1/A%20Novel%20Approach%20for%20Semantic%20Extractive%20Text%20Summarization.pdf; https://eprints.ums.edu.my/id/eprint/33238/2/A%20Novel%20Approach%20for%20Semantic%20Extractive%20Text%20Summarization1.pdf; https://eprints.ums.edu.my/id/eprint/33238/; https://www.mdpi.com/2076-3417/12/9/4479; https://doi.org/10.3390/app12094479

Text summarization is a technique for shortening down or exacting a long text or document. It becomes critical when someone needs a quick and accurate summary of very long content. Manual text summarization can be expensive and time-consuming. While summarizing, some important content, such as infor...