Lightweight theory-driven acquisition and preprocessing consists of activities such as data summarization, graphical representation, dimension reduction; and outlier detection.
Abstractive summarization allows an internal representation of the source document so as to produce a faithful summary of the source.
Fig. 8 Multiple representations for summarization.
The representation, analysis and summarization of the results of such experiments can be difficult and complex.
Based on an initial analysis of requirement representations in data summarization, the study develops a generic organization of ontology for data summarization query system.
Video summarization is the process of creating a new representation of video data that is much shorter than original video data and information is preserved as much as possible.
Movie analysis research takes into account extracting summarization version where the goal is to summarize a movie to provide an effective shortened version of the film in a condensed and succinct representation of the storyline.
As the summarization of data with perfect objectivity in order to obtain abstract representations of measurements such as shown in Figure 4 is quite difficult, analysts tend to depend on personal criteria to judge the importance of each piece of information.
At Columbia these include text and speech summarization, question answering, machine translation, syntax and parsing, language generation, spoken dialogue systems, semantic representation and analysis, and the study of emotional and deceptive speech, in English, Arabic, and Mandarin, inter alia.
Another research in multi-document abstraction summarization worked by Genest and Lapalme [9] focuses on generating the summary from the abstract representation of original documents called information item.
