A Survey On Text Encapsulation

Authors

  • Tarun Singh Gohil Student, Department of Computer Science & Engineering, Global Institute of Technology, Jaipur, Rajasthan, India.

Keywords:

Text Encapsulation, Text Minimization, Word Net, Lesk Algorithm, Natural Language Processing (NLP)

Abstract

Text encapsulate is squeeze the source paragraph into an outline version
maintaining its info content and overall meaning. Because of the great
amount of the info we are provided it and thanks to development of
Internet Technologies, text encapsulation has become an important
tool for interpreting text info. Text encapsulating techniques can be
classified into extractive and abstractive encapsulation. An extractive
encapsulation technique involves selecting sentences of high rank from
the file based on word and sentence features and put them together to
generate outline. The importance of the sentences is decided based on
statistical and linguistic features of decrees. An abstractive encapsulation
is used to considerate the main concepts in a given file and then
expresses those ideas in clear natural language. In this paper, gives
comparative study of various text encapsulation methods. Automatic
text encapsulation, the computer-based production of condensed
versions of files, is an important technology for the info society. Without
outline it would be practically unbearable for human beings to get
admittance to the ever growing mass of info available online. Although
research in text encapsulation is over 50 years old, some efforts are still
needed given the insufficient quality of automatic encapsulates and the
number of interesting encapsulation topics being proposed in different
contexts by end users (“domain-specific encapsulates”, “opinion-oriented
encapsulates”, “update encapsulates” etc.). This paper gives a short
overview of encapsulation techniques and evaluation.

References

Text Encapsulation, Text Minimization, Word Net, Lesk

Algorithm, Natural Language Processing (NLP)

Published

2020-09-05