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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM13675

CLOTHING SALE ANALYSIS USING RNN

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM13675

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AGSJ

ANITHA GNANA SELVI J

K

KAVIPRIYA.S

B

BHAVATHARANI.G

L

LOGESHWARI.G

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Abstract

Sales forecasting is crucial for many retail operations. It is especially critical for the fashion retailing service industry in which product demand is very volatile and product’s life cycle is short. This project conducts a comprehensive literature review and selects a set of papers in the literature on fashion retail sales forecasting. social media platform, based on the main trends with Natural Language Processing and with Sentiment Classification using Recurrent Neural Network. Where we analyse, compile, visualize statistics,

KEYWORDS

optics photonics light lasers templates journals

Cite This Article

ANITHA GNANA SELVI J, KAVIPRIYA.S, BHAVATHARANI.G, LOGESHWARI.G, "CLOTHING SALE ANALYSIS USING RNN," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

5/25/2022

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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