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Autonomous approach for type categorization of product data based on numerous text and attribute factorizations

By: Baruah, Sudesna.
Contributor(s): Bagya Lakshmi V | Navneeth Devaraj | Gnanaprakash A | Jayaram, Deepak Kumar.
Publisher: New Delhi Associated Management Consultants 2022Edition: Vol.7 (02), Mar-Apr.Description: 8-15p.Subject(s): Computer Engineering In: Indian Journal of Computer ScienceSummary: 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. 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
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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.

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

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