A Survey on Existing Extractive Techniques for Query-Based Text Summarization

Condensation of document information from the text according to the query is primarily a concerned matter due to the rapid growth of information. In fact, there is not usually enough time to scan through the contents and understand each document and make decision based on the queries. Hence, there is a great demand for query based summarization of text documents. Therefore, text summarization is considered to be a challenging task and a paramount research area these days. Moreover, query-based text summarization is a significant problem, which has innumerable applications. It becomes increasingly important to extensively study the different mechanisms that can provide an effective and a short summary. Therefore, in this paper, an effort has been made to go through the various extractive based approaches for query-based text summarization so that time and effort can be reduced to find a useful summary for the users as specified by their need.