Extractive text summarization using enhanced latent semantic analysis

Simple item page
dc.contributor.advisorChaudhary, Sanjay
dc.contributor.authorSnehal, Happy
dc.date.accessioned2025-08-31T09:41:48Z
dc.date.available2025-08-31T09:41:48Z
dc.date.issued2019
dc.description.abstractThe idea behind this project comes from the need of speedy, e ective and e cient system demands of the user. The motive behind text summarization is to compress prolonged data. The summary thus produced gives the objective of the entire doc ument in fewer sentences. On point results simpli es the process and makes it more captivating for the user. This project deals with Extractive Text summarization using Enhanced Latent Semantic Analysis. The algorithm is evaluated in English document and is compared with the summarization of human evaluators.
dc.description.degreeMaster of Technology
dc.identifier.urihttps://ir.ahduni.edu.in/handle/123456789/5290
dc.language.isoen
dc.publisherAhmedabad University
dc.sourceSchool of Engineering and Applied Science
dc.subjectComputer Science and Engineering
dc.titleExtractive text summarization using enhanced latent semantic analysis
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
AU1744003.pdf
Size:
218.34 KB
Format:
Adobe Portable Document Format
Download

Collections

School of Engineering and Applied Science