Precision in Communication: A Natural Language Processing Approach to Text Summarization

Authors

  • Md Serajun Nabi School of Computing and Informatics Albukhary International University Author
  • Zaidan Mufaddhal School of Computing and Informatics Albukhary International University Author
  • Khai Lin Khant School of Computing and Informatics Albukhary International University Author
  • Ahmed Mansour Raufi School of Computing and Informatics Albukhary International University Author
  • Akibu Mahmoud Abdullahi School of Computing and Informatics Albukhary International University Author

DOI:

https://doi.org/10.53840/myjict8-2-21

Keywords:

Natural Language Processing, Text Summarization, Machine Learning

Abstract

This study presents an experimental method to understanding the fundamental ideas of natural language processing and developing a system for automatically summarizing material in a form that users can grasp in a short amount of time. Tokenization, word embedding’s, cleaning sentences, deleting stop words, and utilizing Cosine Similarity and Networks to determine similarity between phrases and pick the most essential ones to create the summary are all employed in the experiment. We discovered that advanced techniques, such as machine learning algorithms, may successfully extract essential concepts and create meaningful summaries from a given text. We also discovered that by considering the general subject and arrangement of the text, as well as applying Cosine Similarity and Networks, we could create more accurate and thorough summaries.

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References

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Published

09-07-2024

Issue

Section

Articles

How to Cite

Precision in Communication: A Natural Language Processing Approach to Text Summarization. (2024). Malaysian Journal of Information and Communication Technology (MyJICT), 8(2), 1-7. https://doi.org/10.53840/myjict8-2-21