The extractive summarization approach involves selecting the source document's salient
sentences to build a summary. One of the most important aspects of extractive …

Nowadays, there is an abundance of information available from both online and offline
sources. For a single topic, we can get more than hundreds of sources containing a wealth …

Automatic text generation is used extensively for various purposes such as creating content
for websites, generating reports, articles etc. Automatic Text summarization uses several …

This study innovatively addresses the field of text summarization in Natural Language
Processing, focusing specifically on the Thai language. In a departure from the limited …

Documents containing biomedical information come in a variety of formats. Clinical,
research doctors and researchers can use biomedical literature to assess the most recent …

Text Summarization might seem like a trivial problem, but in reality, is essential for data
acquisition and understanding by compressing large amounts of text into specific a nd to-the …

Most of the data created by humans comes from blogs, digital magazines, social networking
sites, and news websites. Extracting the essential information from a text through hand …

As the world becomes more digital, people instantly get news on their phones and
computers. Thus, they are opting for digital news over newspapers. As news helps us keep …

Text summary has become a vital and more popular domain to preserve and highlight the
core purpose of textual information as the amount of online information and resource texts …

Large volumes of information are generated daily, making it challenging to manage such
information. This is due to redundancy and the type of data available, most of which needs to …