A boundary-based tokenization technique for extractive text summarization

The need to extract and manage vital information contained in copious volumes of text documents has given birth several automatic summarization (ATS) approaches. ATS found application academic research, medical health records analysis, content creation search engine optimization, finance media. This study presents a boundary-based tokenization method for extractive summarization. proposed performs word by defining boundaries place specific delimiters. An algorithm was further developed based on the method, as well length consideration control redundancy summary output. Experimental results showed that approach enhanced enhancing selection appropriate keywords from document be used