INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
The paper is mainly based on time consumption reduction, which is the most required aspect nowadays. This paper provides solution to the problem that the reader/user needs to spend a lot of time in reading articles or papers written about any particular topic which they want to learn about for a particular type of task they want to perform, as for performing any work research about that particular topic is needed and for the requirement analysis phase as those studies helps to relate what will be required for their work, for which the user/reader needs to spend a lot of time finding the documents/papers which are of their use and moreover reading the whole document and research paper to gain information. This process becomes takes a lot of time as reading all those documents and paper is a lengthy work. Which is a major problem as it takes a lot of time in today’s world, where everyone is trying to minimize time consumption in every field. The paper is providing the solution to this problem with th
Keywords:
Keyword extraction; Lexical chains; Natural language processing
Cite Article:
"Text Summarization and Keyword Extraction using Lexcial Analysis and NLP", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1247 - 1254, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305200.pdf
Downloads:
000251436
Publication Details:
Published Paper ID: IJSDR2305200
Registration ID:206259
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1247 - 1254
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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