A Survey of Text Summarization Techniques for Indian Regional Languages
Author(s) -
Sheetal Shimpikar,
Sharvari Govilkar
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017914083
Subject(s) - automatic summarization , computer science , information retrieval , natural language processing , data science
Summarization is the process of reducing a text document with a computer program in order to create a summary that retains the most important points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax. The main idea of summarization is to find a representative subset of the data, which contains the information of the entire set. Text summarization is commonly used to handle summaries of email threads, action items from a meeting and simplifying text by compressing sentences used to manage knowledge and also to help Internet search engines. This paper gives comparative study of various text summarization techniques used for Indian regional languages and also discusses in detail two main Types of Text summarization techniques these are extractive and abstractive.
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