Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...

A large amount of on-line information and lengthiness information can’t fit for the mobile devices. In order to save this problem, we propose a method which collects original news text from on-line information and extracts summary sentences from them automatically. On this basis, we adopt WML(Wireless Markup Language) to build a news website for mobile devices browsing through the news summary....

The rapid expansion of social media platforms has resulted in an unprecedented surge short text content being generated on a daily basis. Extracting valuable insights and patterns from this vast volume textual data necessitates specialized techniques that can effectively condense information while preserving its core essence. In response to challenge, automatic summarization (ASTS) have emerged...

The amount of data on the Internet has increased exponentially over past decade. Therefore, we need a solution that converts this massive raw information into useful human brain can understand. One such common technique in research helps when dealing with large amounts is text summarization. Automatic summarization well-known approach to reduce documents key ideas. This works by storing importa...

In automatic text summarization, the most relevant parts of a document are extracted and put together in a non-redundant summary that is shorter than the original document. A more advanced form of summarization is multi-text summarization where several texts are condensed into one summary. As the amount of information on the Internet grows abundantly, it is difficult to select relevant informat...

Corresponding Author: Yogan Jaya Kumar Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, 76100, Melaka, Malaysia Email: [email protected] Abstract: It has been more than 50 years since the initial investigation on automatic text summarization was started. Various techniques have been successfully used to extract the important contents from text document t...

Video summarization algorithms present condensed versions of a full length video by identifying the most significant parts of the video. In this paper, we propose an automatic video summarization method using the subtitles of videos and text summarization techniques. We identify significant sentences in the subtitles of a video by using text summarization techniques and then we compose a video ...

The search for interesting information in a huge data collection is a tough job frustrating the seekers for that information. The automatic text summarization has come to facilitate such searching process. Automatic text summarization is to compress an original document into an abridged version by extracting almost all of the essential concepts with text mining techniques. The selection of dist...