Product Review Based on Geographic Location Using SVM Approach in Twitter

Authors

  • Mouly Purohit  U.G. Student, Computer Engineering, Sigma Institute of Engineering, Bakrol, Gujarat, India
  • Niyati Dave  U.G. Student, Computer Engineering, Sigma Institute of Engineering, Bakrol, Gujarat, India
  • Rajnish Mishra  U.G. Student, Computer Engineering, Sigma Institute of Engineering, Bakrol, Gujarat, India
  • Mitali Patel  U.G. Student, Computer Engineering, Sigma Institute of Engineering, Bakrol, Gujarat, India
  • Mrs. Arpana Mahajan  Head of Department, Computer Engineering, Sigma Institute of Engineering, Bakrol, Gujarat, India
  • Dr. Sheshang Degadwala  Head of Department, Computer Engineering, Sigma Institute of Engineering, Bakrol, Gujarat, India

DOI:

https://doi.org//10.32628/CI017

Keywords:

Sentiment Analysis, Social Media, Twitter, Machine Learning Methods: Support Vector Machine, K-Neatest Neighbour, Naïve Bayes, pre-processing, Feature Extraction, Opinion Mining Unigram, Bigram, Trigram, N-gram.

Abstract

Many organizations do distinctive sorts of overviews like Product quality study, aggressive items and market study, mark audit study, client benefit review, new item acknowledgment and request study, client trust and steadfastness study and numerous different studies for the organization and item upgrades. These sort of reviews need parcel of spending plan, labour and part of time. The report produced by this procedure won't not be certified. This is tedious, high spending plan included and manual process. Online informal organization (OSNs, for example, Facebook, Google+, and Twitter has changed the present framework in many measurements. Twitter will useful for company to grow their business ideas and launching new products.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-10

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRSET

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mouly Purohit, Niyati Dave, Rajnish Mishra, Mitali Patel, Mrs. Arpana Mahajan, Dr. Sheshang Degadwala, " Product Review Based on Geographic Location Using SVM Approach in Twitter, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 5, pp.318-323, March-April-2018. Available at doi : https://doi.org/10.32628/CI017