Acta Scientific Computer Sciences

Review Article Volume 4 Issue 3

Basic Protocol to Conduct an NLP Based Study

Santhosh Priya1* and R Kalaiarasi2

1Research Scholar, School of Computer Science, Tamil Nadu Open University, Chennai, India
2Assistant Professor, School of Computer Science, Tamil Nadu Open University, Chennai, India

*Corresponding Author: Santhosh Priya, Research Scholar, School of Computer Science, Tamil Nadu Open University, Chennai, India.

Received: December 25, 2021; Published: March 14, 2022

Abstract

There are tons and tons of raw data available on the Internet, hence, the purpose of this study is to explore the need for text mining with the terminology. This paper details the study of text mining with its application areas and its terminology critiques its working with Natural Language Processing (NLP).


Keywords: Artificial Intelligence; Textmining; Textmining Process; Natural Language Processing; Areas of NLP

References

  1. https://www.linguamatics.com/what-text-mining-text-analytics-and-natural-language-processing
  2. https://www.altexsoft.com/blog/structured-unstructured-data/
  3. D Khanaferov., et al. “Social Network Data Mining Using Natural Language Processing and Density-Based Clustering". 2014 IEEE International Conference on Semantic Computing (2014): 250-251.
  4. https://thesai.org/Downloads/Volume7No11/Paper_53Text_Mining_Techniques_Applications_and_Issues.pdf
  5. Hernández-Blanco Antonio., et al. “A systematic review of deep learning approaches to educational data mining". Complexity 2019 (2019).
  6. https://www.educba.com/text-mining/
  7. , et al. “A comprehensive review on resolving ambiguities in natural language processing”. AI Open 2 (2021): 85-92.
  8. Kevin Bretonnel Cohen. “Chapter 6 - Biomedical Natural Language Processing and Text Mining”. Editor (s): Indra Neil Sarkar, Methods in Biomedical Informatics, Academic Press (2014): 141-177.
  9. https://www.sciencedirect.com/science/article/pii/B9780124016781000063
  10. https://www.techtarget.com/searchenterpriseai/definition/natural-language-processing-NLP
  11. Saad Saidah and Saberi Bilal. “Sentiment Analysis or Opinion Mining: A Review”. International Journal on Advanced Science, Engineering and Information Technology 7 (2017): 1660.
  12. Gupta Vishal and Gurpreet S Lehal. "A survey of text mining techniques and applications". Journal of Emerging Technologies in Web Intelligence1 (2009): 60-76.
  13. https://bigdata-madesimple.com/how-do-chatbots-work-an-overview-of-the-architecture-of-a-chatbot/
  14. Vijayarani S and Janani Ms. “Text Mining: open Source Tokenization Tools – An Analysis”. Advanced Computational Intelligence: An International Journal (ASCII) 3 (2016).
  15. https://www.kdnuggets.com/2017/09/machine-learning-translation-google-translate-algorithm.html
  16. Jivani Anjali. “A Comparative Study of Stemming Algorithms”. International Journal of Computer Applications in Technology 2 (2011): 1930-1938.
  17. Jin-A Choi and Kiho Lim. “Identifying machine learning techniques for classification of target advertising”. ICT Express3 (2020).
  18. http://jkhighereducation.nic.in/jkrjmcs/issue1/15.pdf
  19. https://towardsdatascience.com/nlp-building-text-cleanup-and-preprocessing-pipeline-eba4095245a0
  20. Shervin Minaee., et al. “Deep Learning--based Text Classification: A Comprehensive Review”. ACM Computing Surveys 3 (2022): 1-40.
  21. https://towardsdatascience.com/understanding-word-n-grams-and-n-gram-probability-in-natural-language-processing-9d9eef0fa058
  22. Xiaojin Zhu and R Rosenfeld. "Improving trigram language modeling with the World Wide Web". 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 1 (2001): 533-536.
  23. Richard C Angell., et al. “Automatic spelling correction using a trigram similarity measure”. Information Processing and Management 4 (1983).
  24. Fatma Elghannam. “Text representation, and classification based on a bi-gram alphabet”. Journal of King Saud University - Computer and Information Sciences2 (2021).
  25. https://www.techtarget.com/searchenterpriseai/definition/natural-language-processing-NLP=Natural%20language%20processing%20 (NLP)%20is,in%20the%20field%20of%20linguistics
  26. https://www.jatit.org/volumes/Vol96No6/4Vol96No6.pdf
  27. https://link.springer.com/book/10.1007/978-1-4757-4305-0
  28. Nan Li., et al. “Using text mining and sentiment analysis for online forums hotspot detection and forecast”. Decision Support Systems2 (2010).
  29. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems May 2019 Paper No.: 185 (2019): 1-12.
  30. Fernando Enríquez., et al. “A comparative study of classifier combination applied to NLP tasks”. Information Fusion 3 (2012): 1566-2535.

Citation

Citation: Santhosh Priya and R Kalaiarasi. “Basic Protocol to Conduct an NLP Based Study". Acta Scientific Computer Sciences 4.3 (2022): 22-25.

Copyright

Copyright: © 2022 Santhosh Priya and R Kalaiarasi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is July 10, 2022.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of “Best Article of the Issue”.
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.
  • Contact US