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Perusal of readability with focus on web content understandability
- Source :
- Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 1, Pp 1-10 (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- The Web has become a popular and important medium of transmitting information from one place to another place. For making information accessible to all, we need to check their accessibility and readability score. Readability is a metric to measure the success of information being successfully conveyed to a large population when people are trying to access it. This survey paper analyzes the popular readability indices used to check the readability of websites and web pages. Most of the available readability metrics consider only textual features of the web while checking the readability of websites, and a lot of factors which affect readability are not taken into account. Based on survey findings, we provide some useful suggestions, which are, if considered while developing readability formulas, the results will be more effective.
- Subjects :
- Understandability
Focus (computing)
General Computer Science
Easy to Read (E2R)
Computer science
Large population
020206 networking & telecommunications
Readability indices
02 engineering and technology
Readability
lcsh:QA75.5-76.95
World Wide Web
Web page
0202 electrical engineering, electronic engineering, information engineering
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
020201 artificial intelligence & image processing
Metric (unit)
Web content
lcsh:Electronic computers. Computer science
Readability models
Subjects
Details
- Language :
- English
- ISSN :
- 13191578
- Volume :
- 33
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University: Computer and Information Sciences
- Accession number :
- edsair.doi.dedup.....96d7235d18eefa4efdc3063926bdfed1