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  Published Paper Details:

  Paper Title

Machine Learning Approach in Digital Marketing: Analyzing its Influence on Consumer Buying Behavior.

  Authors

  MALAY BANDYAPADHYAY

  Keywords

Digital marketing, social media, machine learning, sentiment analysis.

  Abstract


The significance of digital marketing has grown over time in the current digital era as a method to provide clients with innovative properties for education, engagement, and the sale of goods and services. Millions of people's everyday lives are gradually being impacted by digital marketing via mobile and social media, which is expanding into the typical social media activities that foster customer interactions. Companies turned to digital marketing as a logical response to take advantage of and profit from the increased consumer focus on the Internet. Businesses, hospitals, schools, professional groups, councils, and NGOs (Non-Governmental Institutions) are just a few examples of the many organizations that employ digital marketing as part of their marketing strategy and deployment plans to address challenging market issues. They promote the use of machine learning technology to overcome those circumstances. Sentiment analysis is one of several types of analytics that many businesses use today to better understand and respond to what consumers think about them and their goods in digital marketing. Business companies will rely increasingly on machine learning technologies and other mining approaches in the future for analyzing dynamic data.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303841

  Paper ID - 233446

  Page Number(s) - h115-h121

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  MALAY BANDYAPADHYAY,   "Machine Learning Approach in Digital Marketing: Analyzing its Influence on Consumer Buying Behavior.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.h115-h121, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303841.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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