Particle swarm optimization (PSO) algorithm is proposed to deal with text summarization for the Punjabi language. PSO based on intelligence that predicts among a given set of solutions which best solution. The search carried out by extremely high-speed particles. It updates particle position and velocity at end iteration so during development generations, personal solution global are updated. C...

The rapid growth of the online information services causes the problem of information explosion. Automatic text summarization techniques are essential for dealing with this problem. There are different approaches to text summarization and different systems have used one or a combination of them. Considering the wide variety of summarization techniques there should be an evaluation mechanism to ...

The fully idiographic nature of Chinese language facilitates the algorithms in natural language processing by a tight correspondence between characters and text meaning, and also allows for substantially less preprocessing as compared to the case of other languages. We have recently developed and tested a popularity-based concept to summarization of Chinese text. This paper argues that the popu...

This paper presents an overview of Text Summarization. Text Summarization is a challenging problem these days. Due to the great amount of information we are provided with and thanks to the development of Internet technologies, needs of producing summaries have become more and more widespread. Summarization is a very interesting and useful task that gives support to many other tasks as well as i...

Text summarizers automatically construct summaries of a naturallanguage document. This paper examines the use of text summarization within data mining, identifying the potential summarizers have for uncovering interesting and unexpected information. It describes the current state of the art in commercial summarization and current approaches to the evaluation of summarizers. The paper then propo...

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 ...

impact of the language differences on the automatic text summarization systems has not yet been investigated. The authors provide an impact analysis of language difference on automatic text summarization. It includes the effect on the extraction processes, the scoring mechanisms , the performance, and the matching of the extracted sentences, using the parallel corpus in English and Chinese as t...

We have explored the usefulness of incorporating speech and discourse features in an automatic speech summarization system applied to meeting recordings from the ICSI Meetings corpus. By analyzing speaker activity, turn-taking and discourse cues, we hypothesize that such a system can outperform solely text-based methods inherited from the field of text summarization. The summarization methods a...

Due to the overabundance of textual information on-line, automatic text summarization [Saggion and Poibeau, 2013], the reduction of a text to its essential content, is fundamental for information systems dealing with textual content. In recent years text summarization research has intensified with well known evaluation programmes promoting the interest in the area. Comparison of different summa...