Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

Online travel forums and social networks have become the most popular platform for sharing
travel information, with enormous numbers of reviews posted daily. Automatically generated …

The significance of automatic text summarization (ATS) lies in its task of distilling textual
information into a condensed yet meaningful structure that preserves the core message of …

Sequential pattern mining (SPM) has been applied in many fields. However, traditional SPM
neglects the pattern repetition in sequence. To solve this problem, gap constraint SPM was …

Nowadays abundant amount of information is available on Internet which makes it difficult
for the users to locate desired information. Automatic methods are needed to efficiently sieve …

Opinion summarization is a process to produce concise summaries from a large number of
opinionated texts. In this paper, we present a novel deep-learning-based method for the …

Objective Automatic text summarization offers an efficient solution to access the ever-
growing amounts of both scientific and clinical literature in the biomedical domain by …

The rise in the amount of textual resources available on the Internet has created the need for
tools of automatic document summarization. The main challenges of query-oriented …

Due to the exponential overflow of textual information in various fields of knowledge and on
the internet, it is very challenging to extract important information or to generate a summary …

Currently, due to the overflow of textual information on the Internet, automatic text
summarization methods are becoming increasingly important in many fields of knowledge …