A Survey on Extractive Text Summarization Techniques |
Author(s): |
| Diksha Harbola , shankersinh vaghela bapu institute of technology |
Keywords: |
| Text Summarization, Graph-Based, Cluster-Based, Tf-Idf, Sentence Extraction, Extractive Summarization, Summary Evaluation |
Abstract |
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Text summarization is a technique for creating a short but useful information from a text document. Automatic text summarization plays a vital role in producing a summarized information from a large corpus. An extractive summarization is a technique that is based on extracting the sentences from the documents for the summary generation. Various systems are based on feature extraction method. The main goal of all the systems is to obtain relevant data and summarize them as per the users' input. These systems differ in the main aspects of the features provided and the architecture used by them. This paper is consisted of the basics of multi-document summarization, then several approaches for extractive summarization and extractive methods, and then the various evaluation methods for the estimating the performance of the summarization techniques. |
Other Details |
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Paper ID: IJSRDV6I21889 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 3383-3387 |
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