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Reseach Article

Research on Data Preprocessing and Categorization Technique for Smartphone Review Analysis

by Vivek Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 4
Year of Publication: 2015
Authors: Vivek Agarwal
10.5120/ijca2015907309

Vivek Agarwal . Research on Data Preprocessing and Categorization Technique for Smartphone Review Analysis. International Journal of Computer Applications. 131, 4 ( December 2015), 30-36. DOI=10.5120/ijca2015907309

@article{ 10.5120/ijca2015907309,
author = { Vivek Agarwal },
title = { Research on Data Preprocessing and Categorization Technique for Smartphone Review Analysis },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 4 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number4/23440-2015907309/ },
doi = { 10.5120/ijca2015907309 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:23.894146+05:30
%A Vivek Agarwal
%T Research on Data Preprocessing and Categorization Technique for Smartphone Review Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 4
%P 30-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Given the current market scenario, competition for dominance is at its peak. The best way for any smartphone manufacturer to deliver a quality product, is to perform a review analysis based on the end user experience and their demands. This helps the manufacturers to make necessary product changes and launch more relevant features in their smartphones. This paper aims to highlight the data preprocessing steps required for review analysis of a newly launched smartphones in the market by collecting tweets from the Twitter data feed. It aims to improvise the preprocessing steps and increase accuracy by filtering out the less relevant tweets and consider the more appropriate and genuine tweets.

References
  1. Bird, Steven, Edward Loper and Ewan Klein (2009), Natural Language Processing with Python. O’Reilly Media Inc.
  2. Sumian Peng, “Research on Data Preprocessing Process in the Web Log Mining,” IEEE Conference. Information Science and Engineering (ICISE), 2009 1st International Conference, pp. 942 - 945, 26-28 Dec. 2009
  3. Sun Binli,”Research on data-preprocessing for construction of university information systems”, IEEE Conference. Computer Application and System Modeling (ICCASM), 2010 International Conference Volume:1. 22-24 Oct. 2010
  4. Sudheer Reddy, K,” An effective data preprocessing method for Web Usage Mining”, IEEE Conference Information Communication and Embedded Systems (ICICES), 2013 International Conference. 7 - 10 Feb. 2013.
  5. Wei Jianping, “Research on Data Preprocessing in Supermarket Customers Data Mining”, IEEE Conference Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference, pp. 1 – 4, 25-26 Dec. 2010.
  6. Qing Ang, “Explored research on data preprocessing and mining technology for clinical data applications”, IEEE Conference. Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference, pp 327 – 330.16-18 April 2010.
  7. García, Salvador, “Data Preprocessing in Data Mining”, Intelligent Systems Reference Library.
  8. Wei Zhang, “Data Preprocessing for Web Data Mining”, Advances in Electronic Commerce, Web Application and Communication, pp 303-307.
  9. Sharon Christa, “Data Preprocessing Using Intelligent Agents”, Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA), pp 197-204.
  10. Gaston L’Huillier, “Web Usage Data Pre-processing”, Advanced Techniques in Web Intelligence-2, pp 11-34
  11. Amir R. Razavi, “A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining”, 10th Conference on Artificial Intelligence in Medicine, pp 434-443.
Index Terms

Computer Science
Information Sciences

Keywords

analysis categorization cleaning dataframe gibberish preprocessing processed raw review structured transformation.