Implementation of text summarization on indonesian scientific articles using textrank algorithm with tf-idf web-based

HIGHLIGHTS

• What: The aim of text preprocessing is to clean and tidy up the raw text into a cleaner and more structured representation, making it easier for the next stage of analysis -[21].
• Who: shm publisher from the Department of Mathematics, Universitas Negeri Medan, Indonesia have published the research work: Journal of Soft Computing Exploration, in the Journal: (JOURNAL)
• How: In this study three compression rates are used 30% 40% and 50%.
• Future: As recommendations future research is encouraged to explore other automatic text summarization methods such as BERT and consider using . . .
  

   

  

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