Consumer Intention Prediction Using Twitter Data

Authors

  • Kaustubh Pawar  Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India
  • Karan Deshmukh  Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India
  • Rushikesh Sawant  Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India
  • Onkar Sonkule   Department of Computer Engineering, Zeal College of Engineering and Research Pune, Maharashtra, India

Keywords:

Consumer reviews, sentiment analysis, social perception score, linear regression analysis.

Abstract

The ecommerce business, and specifically customers buying things online, has seen a considerable increase recently. There has been a lot of research into determining a user's purchase patterns and, more significantly, the factors that influence such patterns. may impact whether or not the consumer will purchase the product In this research, we'll look at be investigating whether it is possible to predict and buying intent of a user for a product and target that user with a message. A commercial or a bargain Furthermore, we want to create tools that will assist the Businesses estimate the number of prospective clients for their products. From their tweets and user profile data, they may determine their purchasing intent.

References

  1. Speech and Language Processing (3rd ed. draft), Dan Jurafsky and James H. Martin.
  2. Inspirations for code and designs:Building a prediction model, https://www.kaggle.com/gpayen/building-a-prediction model.
  3. Sentiment analysis:https://www.kaggle.com/laowingkin/amazon-fine-food-reviewsentiment-analysis.
  4. Inspirations for code and designs: TEXT PREPROCESSING USING PYTHON,https://www.kaggle.com/shashanksai/text-preprocessing-using-python.
  5. Identifying Purchase Intentions by Extracting Information from Tweets, February 8,2017, RADBOUDU NIVERSITY NIJMEGEN, BACHELOR ’S THESIS In ARTIFICIAL INTELLIGENCE.
  6. Aparna V.Mote, Utakarsha Musmade, Nikita Deshmukh “Modeling And Forecasting Gross Domestic Product (GDP) Using Linear Regression” 2019 JETIR May 2019, Volume 6, Issue 5.
  7. Tweet analyst: Using Twitter Data to Analyze Consumer Decision Process, The Berkeley Institute of Design.

International Journal of Scientific Research in Science and Technology

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Published

2022-04-30

Issue

Volume 9, Issue 2, March-April-2022

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]
Kaustubh Pawar, Karan Deshmukh, Rushikesh Sawant, Onkar Sonkule "Consumer Intention Prediction Using Twitter Data" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 2, pp.506-510, March-April-2022.