Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Review on Text Mining

Author : Anupam Lakhanpal 1

PDF

Date of Publication :23rd February 2018

Abstract: Rapid developments in automated data processing methods have contributed to tremendous data volume. More than half of the information currently is made up of unorganized or semi organized information. A major problem is the retrieval of common trends and patterns to display textual information from large amounts of data.Text mining is a method of collecting unique and computationally expensive trends from vast quantities of text data. There are many strategies and resources to explore the text documents and explore the detail in policy-making for the potential and operation.Selecting the right and correct text mining methodology allows regain the pace and slows down the time and energy needed to obtain useful data.Through technological innovation, greater and greater information is being distributed in electronic form.Among many, the bulk of the information is in an unorganized structured type.Therefore, it is becoming crucial to develop stronger methods and methodologies in order to obtain interesting and relevant information from a significant amount of conceptual information. Therefore, the area of data mining and text mining have turned out to be the popular analysis fields, in order to obtain unique and necessary information.

Reference :

    1. C. C. Aggarwal and C. X. Zhai, “An introduction to text mining,” Mining Text Data, vol. 9781461432234. pp. 1–10, 2013, doi: 10.1007/978-1-4614-3223-4_1.
    2. C. C. Aggarwal and C. X. Zhai, Mining text data. 2013.
    3. R. Jetley, “Text mining,” ABB Review. 2018, doi: 10.4018/978-1-59904-857-4.ch054.
    4. C. Chen, M. Song, C. Chen, and M. Song, “Text Mining with Unstructured Text,” in Representing Scientific Knowledge, 2017, pp. 223–261.
    5.  A. S. Nayak and A. P. Kanive, “Survey on Pre-Processing Techniques for Text Mining,” Int. J. Eng. Comput. Sci., 2016, doi: 10.18535/ijecs/v5i6.25.
    6.  V. S and J. R, “Text Mining: open Source Tokenization Tools – An Analysis,” Adv. Comput. Intell. An Int. J., 2016, doi: 10.5121/acii.2016.3104.
    7. H. Hashimi, A. Hafez, and H. Mathkour, “Selection criteria for text mining approaches,” Comput. Human Behav., 2015, doi: 10.1016/j.chb.2014.10.062.
    8. C. C. Aggarwal, Data Mining: The Textbook. 2015.
    9. I. D. Dinov and I. D. Dinov, “Natural Language Processing/Text Mining,” in Data Science and Predictive Analytics, 2018, pp. 659–695.
    10. A. Akilan, “Text mining: Challenges and future directions,” 2015, doi: 10.1109/ECS.2015.7124872.
    11. S Balamurugan, RP Shermy, Gokul Kruba Shanker, VS Kumar, VM Prabhakaran, “An Object Oriented Perspective of Context– Aware Monitoring Strategies for Cloud based Healthcare Systems”,Asian Journal of Research in Social Sciences and Humanities, Volume : 6, Issue : 8, 2016
    12. S Balamurugan, P Anushree, S Adhiyaman, Gokul Kruba Shanker, VS Kumar, “RAIN Computing: Reliable and Adaptable Iot Network (RAIN) Computing”, Asian Journal of Research in Social Sciences and Humanities, Volume : 6, Issue : 8, 2016
    13. V.M. Prabhakaran, Prof S.Balamurgan ,A.Brindha ,S.Gayathri ,Dr.GokulKrubaShanker,Duruvakkumar V.S, “NGCC: Certain Investigations on Next Generation 2020 Cloud Computing-Issues, Challenges and Open Problems,” Australian Journal of Basic and Applied Sciences (2015)
    14.  Usha Yadav, Gagandeep Singh Narula, Neelam Duhan, Vishal Jain, “Ontology Engineering and Development Aspects: A Survey”, International Journal of Education and Management Engineering (IJEME), Hongkong, Vol. 6, No. 3, May 2016, page no. 9 – 19 having ISSN No. 2305-3623.
    15.  Vishal Assija, Anupam Baliyan and Vishal Jain, “Effective & Efficient Digital Advertisement Algorithms”, CSI-2015; 50th Golden Jubilee Annual Convention on “Digital Life”, held on 02nd to 05th December, 2015 at New Delhi, published by the Springer under ICT Based Innovations, Advances in Intelligent Systems and Computing having ISBN 978-981-10-6602-3 from page no. 83 to 91.
    16. Vishal Jain and Dr. S. V. A. V. Prasad, “Analysis of RDBMS and Semantic Web Search in University System”, International Journal of Engineering Sciences & Emerging Technologies (IJESET), Volume 7, Issue 2, October 2014, page no. 604-621 having ISSN No. 2231-6604

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