Forecasting Product Sale from Twitter using Hidden Markov Model

Authors

  • Dr. Mohd. Abdul Raffey  Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
  • Pankaj N. Patil  Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India
  • Dr. Sunil Kawale  Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

Keywords:

Sentiment Analysis, Data Mining, Hidden Markov Model, Twitter, Feature selection, Predictive Analytics

Abstract

The main aim of this research proposal is to improve the forecasting power of product sales in the different location by considering the hidden issues which affect to make the prediction goes wrong. This work carried with the help of statistical model i.e. Hidden Markov Model (HMM) applied on the extracted dataset of product review from popular micro blogging site "Twitter"

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 5, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Dr. Mohd. Abdul Raffey, Pankaj N. Patil, Dr. Sunil Kawale, " Forecasting Product Sale from Twitter using Hidden Markov Model, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 5, pp.635-639, March-April-2018.