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Mansaf Alam
Jamia Millia Islamia Central University: Jamia Millia Islamia
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6293-7005
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Almost many consumers are inclined by social media to purchase the product and spend more money on purchasing. We got the data from social media to analyse the consumer behaviour. We have considered the consumer data from Facebook, Twitter, LinkedIn and YouTube. There is diversity and high-speed, high volume data is coming from social media, so we used big data technology. Big Data Technology is the recent technology is used in various field of research. In this paper we have used the concept of big data technology to process data and analyse to predict the consumer behaviour on social media. We have analysed the consumer behaviour based on certain parameter and criteria. we have analysed the consumer perception, attitude towards the social media. For doing the prediction we have pre-process the data to make the quality data so that we can take the quality decision based on outcome of our model. We have used the predictive big data analytics technique to analyse the consumer behaviour prediction in this paper.
Keywords
Big Data Analytics, Predictive, Consumer Perception, Social Media, Data Analytics, Consumer Behavior
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This preprint is under consideration at Journal of Big Data. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Mansaf Alam
Jamia Millia Islamia Central University: Jamia Millia Islamia
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6293-7005
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 22 Feb, 2021
No community comments so far
Editorial decision: Major Revision
On 24 Mar, 2021
Review #7 received
Received 23 Mar, 2021
Review #6 received
Received 22 Mar, 2021
Review #3 received
Received 20 Mar, 2021
Review #2 received
Received 18 Mar, 2021
Review #12 received
Received 17 Mar, 2021
Review #8 received
Received 17 Mar, 2021
Reviewer #12 agreed
On 13 Mar, 2021
Reviewer #11 agreed
On 12 Mar, 2021
Review #1 received
Received 12 Mar, 2021
Review #5 received
Received 12 Mar, 2021
Review #4 received
Received 12 Mar, 2021
Reviewer #10 agreed
On 11 Mar, 2021
Reviewer #9 agreed
On 10 Mar, 2021
Reviewer #7 agreed
On 09 Mar, 2021
Reviewer #8 agreed
On 09 Mar, 2021
Reviewer #6 agreed
On 09 Mar, 2021
Reviewer #4 agreed
On 08 Mar, 2021
Reviewer #5 agreed
On 08 Mar, 2021
Reviewer #3 agreed
On 08 Mar, 2021
Reviewer #2 agreed
On 07 Mar, 2021
Reviewers invited
Invitations sent on 07 Mar, 2021
Reviewer #1 agreed
On 07 Mar, 2021
Reviews received
Received 07 Mar, 2021
Editor assigned
On 14 Feb, 2021
Submission checks complete
On 14 Feb, 2021
Editor invited
On 14 Feb, 2021
First submitted
On 07 Feb, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Computer Architecture and Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Almost many consumers are inclined by social media to purchase the product and spend more money on purchasing. We got the data from social media to analyse the consumer behaviour. We have considered the consumer data from Facebook, Twitter, LinkedIn and YouTube. There is diversity and high-speed, high volume data is coming from social media, so we used big data technology. Big Data Technology is the recent technology is used in various field of research. In this paper we have used the concept of big data technology to process data and analyse to predict the consumer behaviour on social media. We have analysed the consumer behaviour based on certain parameter and criteria. we have analysed the consumer perception, attitude towards the social media. For doing the prediction we have pre-process the data to make the quality data so that we can take the quality decision based on outcome of our model. We have used the predictive big data analytics technique to analyse the consumer behaviour prediction in this paper.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
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