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

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
  •   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
  •   Navneeth Devaraj Functional Consultant, Institute: Retail UK, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu
  •   Gnanaprakash A. Functional Consultant, Institute: Retail Cluster, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu
  •   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

DOI:

https://doi.org/10.17010/ijcs/2022/v7/i2/169680

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

Publishing Chronology

, Manuscript Received, February 22, 2022, Revised, March 15, Accepted, March 17, 2022. Date of Publication, April 5, 2022.

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.

Downloads

Download data is not yet available.

Author Biographies

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

ORCID iD : https://orcid.orglOOOO-0001-7298-1344

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

; ORCID iD : https://orcid.orglOOOO-0002-3969-77IX

Navneeth Devaraj, Functional Consultant, Institute: Retail UK, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu

ORCID iD : https://orcid.orglOOOO-0002-3826-1615

Gnanaprakash A., Functional Consultant, Institute: Retail Cluster, Tata Consultancy Services Limited, Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu

ORCID iD: https://orcid.orglOOOO-0001-6850-2195

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

ORCID iD: https://orcid.orglOOOO-0001-9373-2523

Downloads

Published

2022-04-01

How to Cite

Baruah, S., Lakshmi V., B., Devaraj, N., A., G., & Jayaram, D. K. (2022). An Autonomous Approach for Type Categorization of Product Data Based on Numerous Text and Attribute Factorizations. Indian Journal of Computer Science, 7(2), 8–15. https://doi.org/10.17010/ijcs/2022/v7/i2/169680

Issue

Volume 7, Issue 2, March-April 2022

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

References

H. Wen, Y. Li, N. Naole, E. Chuk, C.-F. A. Deguzman, A. Jain, X. Zhou, R. Mirchandaney, A. Bhardwaj, E. Kobe, and S. Iyer, “Systems and methods for multi-modal automated categorization,†[Online]. Available: https://patents.google.com/patent/WO2017165774A1/n

Z. Kozareva, “Everyone likes shopping! Multi-class product categorization for e-commerce,†In Proc. 2015 Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Lang. Technologies, pp. 1329–1333, 2015. Denver, Colarado, Assoc. Comput. Linguistics. [Online]. Available: https://aclanthology.org/N15-1147.pdf

P. Ristoski, P. Petrovski, P. Mika, and H. Paulheim, “A Machine Learning approach for product matching and categorization,†in Proc. 2015 Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Lang. Technologies, 2015. [Online]. Available:http://www.semantic-web-J..net/content/machine-learning-approach-product-matching-and-categorization-0

“Managing product feeds: Classifying items using Word2Vec by Ross Turner,†[Online]. Available: https://visualmeta.com/2017/03/21/managing-product-feeds-classifying-items-using-word2vec/

S. M. Shukla, “A study of consumer perception towards online grocery shopping: challenges and prospects,†Indian J. Comput. Sci., vol. 2, no. 4, 2017, doi: 10.17010/ijcs/2017/v2/i4/117852

M. A. Ahmed and S. Trausan-Matu, “State of the art Artificial Neural Network, Deep Learning, and the future generation,†Indian J. Comput. Sci. vol. 2, no. 6, 2017, doi: 10.17010/ijcs/2017/v2i6/120440