Abstract: Automatically detecting and summarising at least one topic in at least one document of a document set, whereby each document has a plurality of terms and a plurality of sentences comprising a plurality of terms. Furthermore, the plurality of terms and the plurality of sentences are represented as a plurality of vectors in a two-dimensional space. Firstly, the documents are pre-processed to extract a plurality of significant terms and to create a plurality of basic terms. Next, the documents and the basic terms are formatted. The basic terms and sentences are reduced and then utilised to create a matrix. This matrix is then used to correlate the basic terms. A two-dimensional co-ordinate associated with each of the correlated basic terms is transformed to an n-dimensional coordinate. Next, the reduced sentence vectors are clustered in the n-dimensional space. Finally, to summarise topics, magnitudes of the reduced sentence vectors are utilised.

Abstract: Prawns and like shellfish are shelled by holding them at the tail end, cutting the shell at a point between head and tail, drawing off the head which is discarded, and then drawing the flesh out of the tail part of the shell which is still clamped. Apparatus for performing the shelling comprises a prawn holder which moves sequentially past devices for clamping, cutting and applying suction to the prawns.