An Efficient Extractive Summarization Framework Using TF-IDF, Centroid Scoring, and Dynamic Semantic Redundancy Control
Automatic text summarization has become an essential Natural Language Processing tasks for dealing with the escalating amount of information available in textual formats digitally. Extractive summarization algorithms have been extensively used due to their efficiency and explainability, yet the existing models suffer f...