The work flow model can be implemented with the data mining in the E-commerce platforms. It helps the product/project manager in several ways. The multiple queries have figured out and those are solved here. The data and reviews are generated automatically. The text are generated with web crawler and stored in database as a raw data. The data are cleaned with Natural Language Processing methods and algorithms. The specific types of algorithms are digitally defined for this framework. The specific type of algorithm is run for specific new cases in different platforms. This is designed in a manner to be used by the humans for the interaction purpose. Python is used for pulling data out of files. The process gets automated and the data is cleaned to attain the efficiency. The data review has taken and classified with the data cleaning process with Natural Language Processing. The Natural Language Processing techniques are used, they are Sentimental Analysis, Topic Modeling, Text Generation.
Cite this article:
Madhumathi S, Gomathi R. Data mining in Ecommerce platforms for product managers. Research J. Engineering and Tech. 2021;12(1):01-07. doi: 10.5958/2321-581X.2021.00001.5
Madhumathi S, Gomathi R. Data mining in Ecommerce platforms for product managers. Research J. Engineering and Tech. 2021;12(1):01-07. doi: 10.5958/2321-581X.2021.00001.5 Available on: http://ijersonline.org/AbstractView.aspx?PID=2021-12-1-1
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