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

In data mining, Frequent Itemsets Mining is a technique used in several domains with
notable results. However, the large volume of data in modern datasets increases the …

The increasing usage of the Internet and social networks has produced a significant amount
of online textual data. These online textual data led to information overload and redundancy …

Text summarization is the process of generating a brief version of a text that preserves the
salient information of the text. For information retrieval, it is a good dimension reduction …

The qualities of human readable summaries available in the datasets are not up to the mark,
leading to issues in creating an accurate model for text summarization. Although recent …

Scientific articles can be annotated with short sentences, called highlights, providing readers
with an at-a-glance overview of the main findings. Highlights are usually manually specified …

Quoted companies are requested to periodically publish financial reports in textual form. The
annual financial reports typically include detailed financial and business information, thus …

The recent advancements in big data and natural language processing (NLP) have
necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous …

Timeline summarization aims at presenting long news stories in a compact manner. State-of-
the-art approaches first select the most relevant dates from the original event timeline then …

Online education has become an effective way to deliver quality education to students. They
have become more popular because of their high graphical and pictorial content, delivered …