References

Abdul-Baqi, Muhammad Fu’ad. 1945. Al-Mu’jam Al-Mufahras Li Alfaz Al-Quran Al-Kareem. Beirut, Lebanon: Dar Ahi’a Al-Tirath Al-Arabi.

Al-Saffar, Suryanti AND Tao, Ahmed AND Awang. 2018. “Malay Sentiment Analysis Based on Combined Classification Approaches and Senti-Lexicon Algorithm.” PLOS ONE 13 (4): 1–18. https://doi.org/10.1371/journal.pone.0194852.

Alsuwaidan, Tareq, and Azman Hussin. 2021. “Islam Simplified: A Holistic View of the Quran.”

Arnold, Taylor B. 2016. cleanNLP: A Tidy Data Model for Natural Language Processing. https://cran.r-project.org/package=cleanNLP.

Arnold, Taylor B., and Lauren Tilton. 2016. coreNLP: Wrappers Around Stanford Corenlp Tools. https://cran.r-project.org/package=coreNLP.

Atwell, Eric. 2018. Classical and Modern Arabic Corpora: Genre and Language Change. Amsterdam, The Netherlands: John Benjamins Publishing Company.

Baayen, Harald R. 2008. Analyzing Linguistic Data: A Practical Introduction to Statistics Using r. Cambridge, United Kingdom: Cambridge University Press.

Ban, Kristina, Ana Meštrović, and Sanda Martincic-Ipsic. 2014. “Initial Comparison of Linguistic Networks Measures for Parallel Texts,” May.

Bannister, Andew G. 2014. An Oral Formulaic Study of the Quran. Plymouth, United Kingdom: Lexington Books.

Barabasi, Albert-Laszlo. 2016. Network Science. Cambridge, Massachussets: Cambridge University Press.

Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Stefan Müller, Patrick O. Perry, Benjamin Lauderdale, Johannes Gruber, William Lowe, and Vikas Sindhwani. 2020. Quanteda.textmodels: Scaling Models and Classifiers for Textual Data. https://cran.r-project.org/web/packages/quanteda.textmodels/index.html.

Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. 2018. Quanteda: An r Package for the Quantitative Analysis of Textual Data. https://cran.r-project.org/web/packages/quanteda/index.html.

Blaheta, Don, and Mark Johnson. 2001. “From Taxonomies over Ontologies to Knowledge Graphs.” Available at http://web.science.mq.edu.au/~mjohnson/papers/2001/dpb-colloc01.pdf (2021/02/16).

Blei, David M., Andrew Y. Ng, and Michael I. Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 21 (3): 993–1022.

Blumauer, Andreas. 2016. “From Taxonomies over Ontologies to Knowledge Graphs.” Available at https://semantic-web.com/2014/07/15/from-taxonomies-over-ontologies-to-knowledge-graphs/ (2021/02/16).

Chambers, John M. 2016. Extending r. Boca Raton, Florida: Chapman Hall/CRC.

Csárdi, Gábor. 2020. Igraph: Network Analysis and Visualization. https://cran.r-project.org/web/packages/igraph/index.html.

Dawson, Christian W., Abdullatif Ghallab, Abdulqader Mohsen, and Yousef Ali. 2020. “Arabic Sentiment Analysis: A Systematic Literature Review.” Applied Computational Intelligence and Soft Computing 2020: 7403128. https://doi.org/10.1155/2020/7403128.

DiMarco, C., and G. Hirst. 1988. “Stylistic Grammars in Language Translation.” COLING.

Dukes, Kais, and Nizar Habash. 2010. “Morphological Annotation of Quranic Arabic.” In Proceedings of the 7th International Conference on Language Resources and Evaluation, LREC 2010, 2530–36. European Language Resources Association (ELRA).

Feinerer, Ingo, Kurt Hornik, and Artifex Software. 2020. Tm: Text Mining Package. https://cran.r-project.org/web/packages/tm/index.html.

Gries, Stephen Th. 2017. Quantitative Corpus Linguistics with r: A Practical Introduction. 2nd ed. New York, New York: Routledge, Taylor; Francis Group.

Grimmer, Justin, and Brandon M. Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis 21 (3): 267–97. https://doi.org/10.1093/pan/mps028.

Grün, Bettina, Kurt Hornik, David M Blei, John D Lafferty, Xuan-Hieu Phan, Makoto Matsumoto, Takuji Nishimura, and Shawn Cokus. 2020. Topic Models. https://cran.r-project.org/web/packages/topicmodels/index.html.

Heiss, Andrew. 2018. quRan: Complete Text of the Qur’an. https://github.com/andrewheiss/quRan.

Hirschberg, Julia, and Christopher D. Manning. 2015. “Advances in Natural Language Processing.” Science Magazine 349: 261–66.

Izutsu, Toshiko. 1964. God and Man in the Qur’an. Tokyo, Japan: Keio University.

Jackson, Mathew O. 2008. Social and Economic Networks. Princeton,New Jersey, USA: Princeton University Press.

Jelodar, Hamed, Yongli Wang, Chi Yuan, Xia Feng, Xiahui Jiang, Yanchao Li, and Liang Zhao. 2019. “Latent Dirichlet Allocation (LDA) and Topic Modeling: Models, Applications, a Survey.” Multimedia Tools and Applications 78 (11): 15169–211.

Jurafsky, Daniel, and James H. Martin. 2000. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. 2nd ed. New Jersey, United States: Prentice Hall.

Kolaczyk, Eric, and Gabor Csardi. 2014. Statistical Analysis of Network Data with r. New York,New York, USA: Springer.

Landauer, Thomas K., Peter W. Foltz, and Darrel Laham. 1998. “An Introduction to Latent Semantic Analysis.” Discourse Processes 25: 259–84.

Manning, Christopher D., Prabhakar Raghavan, and Hinrich Schutze. 2009. An Introduction to Information Retrieval. Cambridge, England: Cambridge University Press.

Manning, Christopher D., and Hinrich Schutze. 1999. Foundations of Statistical Natural Language Processing. Cambridge, Massachusetts: The MIT Press.

Marie-Sainte, Souad Larabi, Nada Alalyani, Sihaam Alotaibi, Sanaa Ghouzali, and Ibrahim Abunadi. 2019. “Arabic Natural Language Processing and Machine Learning-Based Systems.” IEEE 7: 7011–19.

Paulheim, Heiko. 2016. “Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods.” Semantic Web Journal Preprint: 1–20.

Pedersen, Thomas Lin. 2017. Ggraph: An Implementation of Grammar of Graphics for Graphs and Networks. https://cran.r-project.org/package=ggraph.

Peng, Roger D. 2014. R Programming for Data Science. Victoria, British Columbia, Canada: Leanpub.

Pennington, Jeffrey, Richard Socher, and Christopher D. Manning. 2014. “GloVe: Global Vectors for Word Representation.” In Empirical Methods in Natural Language Processing (EMNLP), 1532–43. http://www.aclweb.org/anthology/D14-1162.

Popper, Karl. 1992. The Logic of Scientific Discovery. London, United Kingdom: Routledge Classics.

Queiroz, Gabriela De, Colin Fay, Emil Hvitfeldt, Os Keyes, Tim Mastny, Jeff Erickson, David Robinson, Kanishka Misra, and Julia Silge. 2020. Tidytext: Text Mining Using ’Dplyr’, ’Ggplot2’, and Other Tidy Tools. https://cran.r-project.org/web/packages/tidytext/index.html.

Rahman, Fazlur. 1980. Major Themes of the Qur’an. Chicago, Illinois, USA: The University of Chicago Press.

Reinanda, Ridho, Edgar Meij, and Maarten de Rijke. 2020. “Knowledge Graphs: An Information Retrieval Perspective.” Foundations and Trends in Information Retrieval 14 (4): 289–444. https://doi.org/10.1561/1500000063.

Rinker, Tyler W. 2017. Sentimentr: Calculate Text Polarity Sentiment. http://github.com/trinker/sentimentr.

Roberts, Margaret E., Brandon M. Stewart, Dustin Tingley, and Edoardo M. Airoldi. 2014. “The Structural Topic Model and Applied Social Science.” American Journal of Political Science 58: 1064–82.

Roberts, Margaret, Brandon Stewart, and Dustin Tingley. 2019. “Stm : An r Package for Structural Topic Models.” Journal of Statistical Software 91 (October). https://doi.org/10.18637/jss.v091.i02.

Roberts, Margaret, Brandon Stewart, Dustin Tingley, and Kenneth Benoit. 2020. Stm: Estimation of the Structural Topic Model. https://cran.r-project.org/web/packages/stm/index.html.

Robinson, David, Kanishka Misra, and Julia Silge. 2020. Widyr: Widen, Process, Then Re-Tidy Data. https://cran.r-project.org/web/packages/widyr/index.html.

Saeh, Bassam. 2015. The Miraculous Language of Qur’an: Evidence of Divine Origin. London, United Kingdom: International Institute of Islamic Thought.

Saheeh-International. 1997. The Quran: Arabic Text with Corresponding English Meanings. Jeddah, Saudi Arabia: Abul Qasim Publishing House.

Selivanov, Dmitriy, Manuel Bickel, and Qing Wang. 2020. Text2vec: Modern Text Mining Framework for r. https://cran.r-project.org/web/packages/text2vec/index.html.

Silge, Julia, and David Robinson. 2017. Text Mining with r: A Tidy Approach. Newton, Massachussets: O’Reilly Media, Inc. https://www.tidytextmining.com/index.html.

Singhal, Amit. 2012. “Introducing the Knowledge Graph: Things, Not Strings.” Available at https://blog.google/products/search/introducing-knowledge-graph-things-not/ (2021/02/16).

Von-Denfer, Ahmad. 1983. Ulum Al-Quran: An Introduction to the Sciences of the Quran. London, United Kingdom: The Islamic Foundation.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, Dewey Dunnington, and RStudio. 2020. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://cran.r-project.org/web/packages/ggplot2/index.html.

Wickham, Hadley, and Garret Grolemund. 2016. R for Data Science. Newton, Massachussets: O’Reilly Media, Inc.

Wijffels, Jan, and BNOSAC. 2020. Textrank: Summarize Text by Ranking Sentences and Finding Keywords. https://cran.r-project.org/web/packages/textrank/index.html.

Wijffels, Jan, Milan Straka, and Jana Straková. 2020. Udpipe: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the ’UDPipe’ ’NLP’ Toolkit. https://github.com/bnosac/udpipe.

Yusuf-Ali, Abdullah. 2003. The Meaning of the Holy Quran. Beltsville, Maryland: Amana Publications.

Zipf, George K. 1949. Human Behavior and the Principle of Least Effort. New York, New York: Addison-Wesley.