Volume 18, No. 5, 2021
Text Summarization Employing Sentence Ranking Approach
Bhasker Pant , Vrince Vimal
Abstract
Automatic Text Summarization (ATS) is the technique of selecting the significant and applicable information from a given text and is referred to as a summary of the text. There are two ways to approach it. 1) Text that is summarised abstractly, and 2) Text that is summarised in an extractive manner. The term "extractive text summarization" refers to taking key information or sentences from a given text file or the original document and summarising them. This article presents a unique statistical approach for doing an extractive text summarization on a single document. A technique for extracting sentences is described here; this approach summarises the meaning of the input text in a condensed format. Weights are given to each sentence, and then those weights are used to determine where each sentence falls in the overall ranking. It does this by selecting highly rated sentences from the input text, allowing it to choose essential phrases that tends to produce a high-quality summary of the source file, which is then stored as an audio file.
Pages: 3178-3184
Keywords: Text Summarization, Extractive Approach, Term Weighted frequency, Sentence extraction, Summary.