Product Copy Generation for Fashion Footwear Data

Authors

  •   Sudesna Baruah Data Scientist, Retail Strategic Initiatives, Retail Cluster, Tata Consultancy Services Pvt. Ltd., SIPCOT IT Park, Siruseri, Chennai - 603 103, Tamil Nadu
  •   Bagya Lakshmi V. Principal Scientist, Retail Strategic Initiatives, Retail Cluster, Tata Consultancy Services Pvt. Ltd., Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu

DOI:

https://doi.org/10.17010/ijcs/2021/v6/i5/166513

Keywords:

Bi-Directional and Autoregressive Transformer (BART)

, Convolutional Neural Network (CNN), Generative Pre-Trained (GPT), Long Short Term Memory (LSTM), Natural Language Generation (NLG), Product Copy Generation (PCG), Recurrent Neural Network (RNN).

Manuscript Received

, August 10, 2021, Revised, September 3, Accepted, September 8, 2021. Date of Publication, October 5, 2021.

Abstract

Natural Language Generation is a specialized field of Artificial Intelligence (AI) that deals with generation of text, given a set of inputs, like text, image or both. It is also deals with training of a given algorithm or machine to learn about a particular information and build relevant set of information about it in the form of natural language or text, given an input, while validating the same. This technology has stirred up a storm in the field of AI and has a great impact on automation science.

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Author Biographies

Sudesna Baruah, Data Scientist, Retail Strategic Initiatives, Retail Cluster, Tata Consultancy Services Pvt. Ltd., SIPCOT IT Park, Siruseri, Chennai - 603 103, Tamil Nadu

ORCID iD : https://orcid.org/0000-0001-7298-1344

Bagya Lakshmi V., Principal Scientist, Retail Strategic Initiatives, Retail Cluster, Tata Consultancy Services Pvt. Ltd., Magnum SEZ IT Park, Pallikaranai Marshland, Kotivakkam, Chennai - 600 096, Tamil Nadu

ORCID iD : https://orcid.org/0000-0002-3969-771X

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Published

2021-10-31

How to Cite

Baruah, S., & V., B. L. (2021). Product Copy Generation for Fashion Footwear Data. Indian Journal of Computer Science, 6(5), 8–16. https://doi.org/10.17010/ijcs/2021/v6/i5/166513

Issue

Volume 6, Issue 5, October-November 2021

Section

Articles
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Scopus
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Europe PMC

References

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