Lexical Analysis in Content Management System Details

Authors

  • Takudzwa Fadziso Chinhoyi University of Technology

DOI:

https://doi.org/10.18034/gdeb.v8i2.559

Keywords:

Lexer, lexical, tokenization, token analysis, parser, cascading

Abstract

In cognitive science, understanding language by humans starts with recognition. Without the phase, understanding languages become a very cumbersome task. The task of the lexical analyzer is to read the various input characters grouping them into lexemes and producing an output of a sequence of tokens. But before we discuss lexical analysis further, we should have an overview of this research. Lexical analysis is best described as tokenization that converts a sequence of characters (program) into tokens with identifiable meanings. This study aims to look at the various terms or words related to lexical structure, purpose, and how they are applied to get the required result. The lexical analysis offers researchers an idea of the structural aspect of computer language and its semantic content. The work also talks about the advantages and disadvantages of lexical analysis.

Downloads

Download data is not yet available.

Author Biography

  • Takudzwa Fadziso, Chinhoyi University of Technology

    Institute of Lifelong Learning and Development Studies, Chinhoyi University of Technology, ZIMBABWE

References

Donepudi, P. K. (2014a). Technology Growth in Shipping Industry: An Overview. American Journal of Trade and Policy, 1(3), 137-142. https://doi.org/10.18034/ajtp.v1i3.503 DOI: https://doi.org/10.18034/ajtp.v1i3.503

Donepudi, P. K. (2014b). Voice Search Technology: An Overview. Engineering International, 2(2), 91-102. https://doi.org/10.18034/ei.v2i2.502 DOI: https://doi.org/10.18034/ei.v2i2.502

Ganapathy, A. (2016). Speech Emotion Recognition Using Deep Learning Techniques. ABC Journal of Advanced Research, 5(2), 113-122. https://doi.org/10.18034/abcjar.v5i2.550

Ganapathy, A. (2017). Friendly URLs in the CMS and Power of Global Ranking with Crawlers with Added Security. Engineering International, 5(2), 87-96. https://doi.org/10.18034/ei.v5i2.541

Ganapathy, A. (2018). Cascading Cache Layer in Content Management System. Asian Business Review, 8(3), 177-182. https://doi.org/10.18034/abr.v8i3.542

Ganapathy, A., & Neogy, T. K. (2017). Artificial Intelligence Price Emulator: A Study on Cryptocurrency. Global Disclosure of Economics and Business, 6(2), 115-122. https://doi.org/10.18034/gdeb.v6i2.558 DOI: https://doi.org/10.18034/gdeb.v6i2.558

Neogy, T. K., & Paruchuri, H. (2014). Machine Learning as a New Search Engine Interface: An Overview. Engineering International, 2(2), 103-112. https://doi.org/10.18034/ei.v2i2.539

Paruchuri, H. (2015). Application of Artificial Neural Network to ANPR: An Overview. ABC Journal of Advanced Research, 4(2), 143-152. https://doi.org/10.18034/abcjar.v4i2.549

Paruchuri, H. (2017). Credit Card Fraud Detection using Machine Learning: A Systematic Literature Review. ABC Journal of Advanced Research, 6(2), 113-120. https://doi.org/10.18034/abcjar.v6i2.547

Paruchuri, H. (2018). AI Health Check Monitoring and Managing Content Up and Data in CMS World. Malaysian Journal of Medical and Biological Research, 5(2), 141-146. https://doi.org/10.18034/mjmbr.v5i2.554 DOI: https://doi.org/10.18034/mjmbr.v5i2.554

Vadlamudi, S. (2015). Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion. Engineering International, 3(2), 105-114. https://doi.org/10.18034/ei.v3i2.519

Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms?. Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520

Vadlamudi, S. (2017). Stock Market Prediction using Machine Learning: A Systematic Literature Review. American Journal of Trade and Policy, 4(3), 123-128. https://doi.org/10.18034/ajtp.v4i3.521

Vadlamudi, S. (2018). Agri-Food System and Artificial Intelligence: Reconsidering Imperishability. Asian Journal of Applied Science and Engineering, 7(1), 33-42. Retrieved from https://journals.abc.us.org/index.php/ajase/article/view/1192

--0--

Downloads

Published

2019-12-31

How to Cite

Fadziso, T. . (2019). Lexical Analysis in Content Management System Details. Global Disclosure of Economics and Business, 8(2), 119-128. https://doi.org/10.18034/gdeb.v8i2.559

Similar Articles

1-10 of 60

You may also start an advanced similarity search for this article.