Enhanced sentence extraction through neuro-fuzzy technique for text document summarization
A summary system comprises a subtraction of text documents to generate a new form that delivers the essentials contents of the documents. Due to the hassle of documents overload, getting the right information and effectively-developed summaries are essential in retrieving information. Reduction of i...
Saved in:
Main Author: | Ahmad Kamil, Muhammad Azhari |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/26064/1/Enhanced%20sentence%20extraction%20through%20neuro-fuzzy%20technique%20for%20text%20document%20summarization.pdf http://eprints.utem.edu.my/id/eprint/26064/2/Enhanced%20sentence%20extraction%20through%20neuro-fuzzy%20technique%20for%20text%20document%20summarization.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining
by: -, Dian Sa’adillah Maylawati
Published: (2023) -
A Pattern-Growth Sentence Compression Technique For Malay Text Summarizer
by: Alias, Suraya
Published: (2018) -
Sentence extraction for summarization and notetaking /
by: Khanpour, Hamed
Published: (2009) -
Multi-document text summarization using text clustering for Arabic Language
by: Waheeb, Samer Abdulateef
Published: (2014) -
Hybrid differential evolution based automatic single document text summarization
by: Mohammed Ali Abuobieda, Albaraa Abuobieda
Published: (2013)