 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: March 2026
Volume 11 | Issue 3
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21470
Article Published : 8508
Total Authors : 22383
Total Reviewer : 805
Total Countries : 157
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Literature Review on Optimizing Accuracy of Document Summarization |
| Authors Name: | POONAM W. KOLHE , Prof. ASHISH KUMBHARE |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_170346
|
| Published Paper Id: | IJRTI1706023 |
| Published In: | Volume 2 Issue 6, June-2017 |
| DOI: | |
| Abstract: | In today’s fast-growing information age we have an abundance of text, especially on the web. New information is continuously being generated. The growing accessibility of online information has necessitated intensive research in the area of automatic text summarization within the Natural Language Processing (NLP) community. Often due to time constraints we are not able to consume all the data available. It is therefore essential to be able to summarize the text so that it becomes easier to ingest, while maintaining the essence and understandability of the information. In this paper we aim to design an algorithm that can summarize a input document by extracting action word and attempting to modify this extraction using a NLP tools. Our main goal is to reduce a given body of text to a fraction of its size, maintaining coherence and semantics of original text and it is Multi-lingual system. |
| Keywords: | Automatic Summarization, Extraction, Abstraction, NLP. |
| Cite Article: | "Literature Review on Optimizing Accuracy of Document Summarization", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 6, page no.111 - 115, June-2017, Available :http://www.ijrti.org/papers/IJRTI1706023.pdf |
| Downloads: | 000205350 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI1706023
Registration ID:170346
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 111 - 115 Country: Nagpur, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1706023 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1706023 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||