i-manager Publications

Text Analytics in Ecommerce Platforms for Product Managers

Madhumathi S.*, Gomathi R. **

*-** Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India.

Periodicity:September - November'2020
DOI : https://doi.org/10.26634/jit.9.4.18106

Abstract

The work flow model can be implemented with data mining in the E-commerce platforms. It helps the product/project manager in several ways. The multiple queries have been figured out and have been solved here. The data and reviews are generated automatically. The text are generated with web crawler and stored in database as 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 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 been taken and classified with the data cleaning process with Natural Language Processing. The Natural Language Processing techniques used, are Sentimental Analysis, Topic Modeling and Text Generation.

Keywords

Big data, Natural Language Processing, Pre-analyzed, Kinesis Stream, Lambda Function, Data.

How to Cite this Article?

Madhumathi, S., and Gomathi, R. (2020). Text Analytics in Ecommerce Platforms for Product Managers. i-manager's Journal on Information Technology, 9(4), 23-28. https://doi.org/10.26634/jit.9.4.18106

References

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	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Text Analytics in Ecommerce Platforms for Product Managers

Abstract

Keywords

How to Cite this Article?

References

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