TEXT ANALYTICS IN ECOMMERCE PLATFORMS FOR PRODUCT MANAGERS

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 a...

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Bibliographic Details
Published inI-Manager's Journal on Information Technology Vol. 9; no. 4; p. 23
Main Authors MADHUMATHI, S., GOMATHI, R.
Format Journal Article
LanguageEnglish
Published Nagercoil iManager Publications 01.09.2020
Subjects
Algorithms
Cleaning
Data mining
Electronic commerce
Natural language processing
Workflow
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Summary: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.
ISSN:2277-5110
2277-5250
DOI:10.26634/jit.9.4.18106