Indian Journal of Computer Science

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An Autonomous Approach for Type Categorization of Product Data Based on Numerous Text and Attribute Factorizations


Affiliations
1 Data Scientist, Institute: Retail Cluster, AI & Machine Learning, Tata Consultancy Services Pvt. Ltd. Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
2 Principal Scientist, Institute: Retail Cluster, AI & Machine Learning, Tata Consultancy Services Pvt. Ltd., Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
3 Functional Consultant, Institute: Retail UK, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
4 Functional Consultant, Institute: Retail Cluster, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
5 Functional Consultant, Institute: Retail Digital & CPG, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India

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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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  • An Autonomous Approach for Type Categorization of Product Data Based on Numerous Text and Attribute Factorizations

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Authors

Sudesna Baruah
Data Scientist, Institute: Retail Cluster, AI & Machine Learning, Tata Consultancy Services Pvt. Ltd. Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
Bagya Lakshmi V.
Principal Scientist, Institute: Retail Cluster, AI & Machine Learning, Tata Consultancy Services Pvt. Ltd., Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
Navneeth Devaraj
Functional Consultant, Institute: Retail UK, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
Gnanaprakash A.
Functional Consultant, Institute: Retail Cluster, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India
Deepak Kumar Jayaram
Functional Consultant, Institute: Retail Digital & CPG, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu, India

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.

References





DOI: https://doi.org/10.17010/ijcs%2F2022%2Fv7%2Fi2%2F169680