Difference between revisions of "About"
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Tanzil is a Quranic project launched in early 2007 to produce a highly verified Unicode Quran text to be used in Quranic websites and applications. Our mission in the Tanzil project is to produce a standard Unicode Quran text and serve as a reliable source for this standard text on the web. [http://tanzil.net/docs/Tanzil_Project| Tanzil Project] | Tanzil is a Quranic project launched in early 2007 to produce a highly verified Unicode Quran text to be used in Quranic websites and applications. Our mission in the Tanzil project is to produce a standard Unicode Quran text and serve as a reliable source for this standard text on the web. [http://tanzil.net/docs/Tanzil_Project| Tanzil Project] | ||
| − | === [https://en.wikipedia.org/wiki/Data_mining | + | === [https://en.wikipedia.org/wiki/Data_mining data mining] === |
This information in this site was produced using [https://en.wikipedia.org/wiki/Data_mining|data mining], Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. The following tools were used for data mining | This information in this site was produced using [https://en.wikipedia.org/wiki/Data_mining|data mining], Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. The following tools were used for data mining | ||
Revision as of 11:54, 10 March 2018
About HODHOOD ISLAMIC ENCYCLOPEDIA
Contents
Sponsor
HodHood Project is a team effort initiated and maintained by AlHuda University in Houston, Texas. The project will build and maintain a platform for all Islamic Sciences, in as many languages as possible or there are authentic relevant material. At the early stage it will form a container for all written or published books, and eventually grow the project to translate contents.
listed below are all software and resources used in this web site. pls. let us know if we have violated the copy write or license information of any product.
Credit
Tanzil Project
Tanzil is a Quranic project launched in early 2007 to produce a highly verified Unicode Quran text to be used in Quranic websites and applications. Our mission in the Tanzil project is to produce a standard Unicode Quran text and serve as a reliable source for this standard text on the web. Tanzil Project
data mining
This information in this site was produced using mining, Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. The following tools were used for data mining
The R Project for Statistical Computing
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. https://www.r-project.org/
r Studio
RStudio is an active member of the R community. We believe free and open source data analysis software is a foundation for innovative and important work in science, education, and industry. The many customers who value our professional software capabilities help us contribute to this community. https://www.rstudio.com/
r Shiny
Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.
Stanford CoreNLP – Natural language software
Stanford CoreNLP provides a set of human language technology tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and syntactic dependencies, indicate which noun phrases refer to the same entities, indicate sentiment, extract particular or open-class relations between entity mentions, get the quotes people said, etc. https://stanfordnlp.github.io/CoreNLP/
isri stemmer
The Information Science Research Institute’s (ISRI) Arabic stemmer shares many features with the Khoja stemmer. However, the main difference is that ISRI stemmer does not use root dictionary. Also, if a root is not found, ISRI stemmer returned normalized form, rather than returning the original unmodified word. http://www.nltk.org/_modules/nltk/stem/isri.html
