Summarisation
ABOUT
Summarisation is the act of preparing a summary based on a single document or on a larger amount of data. It is about reducing text documents to generate a new form which conveys the key meaning of the contained text.
Analysing large sets of unstructured text data, summarisation reveals the essence of its content and automatically constructs summaries of natural-language documents. Consequently, it is a crucial method in data mining processes. Uncovering interesting and unexpected information facilitates dealing with large unstructured databases. For examining huge amounts of data, information analysists need summarisations to guide their examination of data repositories that are too large to browse them adequatly.
Moreover, summaries of individual documents in a collection may reveal similarities - the basis for clustering or categorisation. Summarising a collection of related documents can also be used to uncover aggregated information that exists only at the collection level.
RESOURCES
Crangle, C. E. (2002). Text summarization in data mining. In Bustard, D and Liu, W and Sterritt, R (Ed.), SOFT-WARE 2002: COMPUTING IN AN IMPERFECT WORLD (Vol. 2311, pp. 332–347). SPRINGER-VERLAG BERLIN.
Deshpande, A. R., Lobo L. M. R. J. (2013) Text Summarization using Clustering Technique. International Journal of Engineering Trends and Technology (IJETT). 4 (8)
