Summarization is the method of extracting valuable information or a summary out of a
significant amount of data using a variety of computation techniques. The summarization …

To obtain an overview of the content present in numerous documents, is a time-consuming
task. Similarly, searching for specific information online, from multiple websites and …

The motivation of the study is to address the weakness of Term Frequency-Inverse
Document Frequency (TF-IDF) in dealing with single terms because single terms can …

Abstract—The number of hotel reviews are huge and growing day by day. Many travelers
rely on this review to take down their decision to book a hotel. Gather valid and useful …

Extractive text summarization selects the most important sentences from a document,
preserves their original meaning, and produces an objective and fact-based summary. It is …

Patents are an important source of information for measuring the technological
advancement of a specific knowledge domain. The volume of patents available in digital …

With a large amount of news consumed by the public, it is impossible to digest all the
available news. This paper developed an automated text summarization and topic detection …

This paper focuses on capturing the meaning of Natural Language Understanding (NLU)
text features to detect the duplicate unsupervised features. The NLU features are compared …

E-prints UMSIDA is a repository of student and lecturer publication documents at the
Muhammadiyah University of Sidoarjo (UMSIDA). The collection of documents is still …

A high school student who has decided to continue their study to the higher level will face a
change of role and demands. State University as a higher education form government has …