In this paper, we propose Ranksum, an approach for extractive text summarization of single
documents based on the rank fusion of four multi-dimensional sentence features extracted …

Text document analysis has recently emerged as a promising strategy in content
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …

Text summarization is essential in this fast-growing world to read the information because a
vast amount of information holds various definitions among related contents. Due to this …

Automatic text summarization plays a significant role in natural language processing to
extract the useful information from the huge amount of online contents. Especially in …

ChatGPT, OpenAI's chatbot, has gained consider-able attention since its launch in
November 2022, owing to its ability to formulate articulated responses to text queries and …

Electronic documents contain tremendous amounts of information. A text summary system is
needed to save time and rapidly know about the document, because the manual text …

Workplace meetings are vital to organizational collaboration, yet a large percentage of
meetings are rated as ineffective. To help improve meeting effectiveness by understanding if …

In today's digital era, the text may be in form of images. This research aims to deal with the
problem by recognizing such text and utilizing the support vector machine (SVM). A lot of …

Summarizing lengthy text involves distilling crucial information into a concise form by
covering the key events in the source text. Previous researchers mostly explored the …

Nowadays online reviews play an important role by giving an helping hand to the customers
to know about other customer's opinions about the product they are going to purchase. This …