Rule-Based Extractive Summarization and Title Generation
Insiya AbdulSalam1, Shirien K A2, Surekha Mariam Varghese3
1Insiya Abdulsalam*, Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India.
2Shirien K A, Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India.
3Dr. Surekha Mariam Varghese, Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on March 01, 2020. | Manuscript published on March 10, 2020. | PP: 1682-1686 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2612039520/2020©BEIESP | DOI: 10.35940/ijitee.E2612.039520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Text summarying is a process by which the most important information from the source document is precisely found. It stands for the information condensed to a longer text. Text summary is broken down into two approaches: extractive summary and abstractive summary. The proposed method creates an extractive summary of a given text and generate an appropriate title for the generated summary. Extractive summary is generated through sentence selection by using Rule-based concept. Eight different features are considered to rank each sentence according to its importance. Ranking assigns a numerical measure to each sentence. After ranking, sentences that has high rank compared to others will be selected to form the summary. The frequently occurring bi-gram is selected as the title for the summary. The system performs better than existing extractive summarization techniques like Graph-based system and achieved a precision of 0.7
Keywords: Extractive Summarization, Abstractive Summarization, Rule-based, Graph-based.
Scope of the Article: Next Generation Internet & Web Architectures