Text Summarization: Taking Legal Document Summarization as an Example

Legal Document Summarization is an automated text summarization system which
is generated by a computer program. This projects aim to generate a relevant
summary from a legal tender specifically documents on tender. With the
development of this module, it is hoped that this will decrease the time required for
handling tender process, eliminating the need on using manual summarizing and
providing an easy viewing for user. This program will be developed by
incorporating Artificial Intelligence field of Natural Language Processing (NLP)
techniques and also finding the most suitable methodology to handle a project
development that deals on text summarization processes. Therefore a custom-made
methodology are implemented which are based on SDLC methodology and a
summarization process. In incorporating NLP technique, based on the existing
summarization system technique on word counting and clue phrases for topic
identification and word clustering are used for better interpretation of information.
Apart from using NLP, other techniques such as theme extraction are also taken into
consideration for better generation of the summary based on the relevant
requirement for the document. With this, extraction of texts based on the results
from word counting and theme extraction can be generated. The technology that are
being generated here are for a single document summarization in English language.