1. IR @ Alliance University
  2. Journal Articles Archive
  3. Article Archives
Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/1103
Title: An Autonomous Approach for Type Categorization of Product Data Based on Numerous Text and Attribute Factorizations
Authors: Navneeth Devaraj, Gnanaprakash A.
Keywords: Context Builder,
Continuous Bag of Words (CBOW),
Convolutional Neural Network (CNN)
Deep Neural Network
Natural Language Generation (NLG)
Natural Language Processing (NLP)
Product Categorization
Shallow Neural Network
Skip Gram
Vocabulary Builder
Word2Vec
Issue Date: 2022
Publisher: Indian Journal of Computer Science
Abstract: Product categorization or Product classification is an area of Natural Language Processing. This special area happens to have a lot of challenges, especially for e-commerce organizations. Scientists and researchers have actively worked on this area over the years using various machine learning & artificial intelligence techniques. Product categorization is the placement and organization of products into their respective categories.
URI: http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1103
Appears in Collections:Article Archives

Files in This Item:
File Description SizeFormat 
An Autonomous Approach for Type Categorization.pdf
  Restricted Access		An Autonomous Approach for Type Categorization506.78 kBAdobe PDFView/Open Request a copy
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.