Semantic Analysis Based Text Summarization
Main Article Content
Abstract
Automatic summarization has become an important part in the study of natural language processing since the advent of the 21st century, since a majority of the data online is textual. Summarization of text will lead to a reduction of data while maintaining the context of it. Having such summarization activity being done automatically also helps in reducing human effort. Summarization is the process of generation of the summary of input text by extracting the representative sentences from it. In this project, we present a novel technique for generating the summarization of domain specific text by using Semantic Analysis for text summarization, which is a subset of Natural Language Processing.
Article Details
How to Cite
, H. D. H. M. D. P. G. A. P. N. P. (2017). Semantic Analysis Based Text Summarization. International Journal on Recent and Innovation Trends in Computing and Communication, 5(4), 170–175. https://doi.org/10.17762/ijritcc.v5i4.384
Section
Articles