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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Navneeth Devaraj, Gnanaprakash A. | - |
dc.date.accessioned | 2023-09-15T11:47:52Z | - |
dc.date.available | 2023-09-15T11:47:52Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/1103 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Indian Journal of Computer Science | en_US |
dc.subject | Context Builder, | en_US |
dc.subject | Continuous Bag of Words (CBOW), | en_US |
dc.subject | Convolutional Neural Network (CNN) | en_US |
dc.subject | Deep Neural Network | en_US |
dc.subject | Natural Language Generation (NLG) | en_US |
dc.subject | Natural Language Processing (NLP) | en_US |
dc.subject | Product Categorization | en_US |
dc.subject | Shallow Neural Network | en_US |
dc.subject | Skip Gram | en_US |
dc.subject | Vocabulary Builder | en_US |
dc.subject | Word2Vec | en_US |
dc.title | An Autonomous Approach for Type Categorization of Product Data Based on Numerous Text and Attribute Factorizations | en_US |
dc.type | Article | en_US |
Appears in Collections: | Article Archives |
Files in This Item:
File | Description | Size | Format | |
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An Autonomous Approach for Type Categorization.pdf Restricted Access | An Autonomous Approach for Type Categorization | 506.78 kB | Adobe PDF | View/Open Request a copy |
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