International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

Increasing the Productivity and Production of the Apparel Industry Using Social Media Platform

Liyanage D.K.Department of Information Technology, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri LankaMalluwawadu K.T.Department of Information Technology, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri LankaRathnayake R.M.T.P.Department of Information Technology, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri LankaVitharana Y.B.Department of Information Technology, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri LankaWishalya TisseraDepartment of Information Technology, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri LankaPoorna PanduwawalaDepartment of Information Technology, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 154-161

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 27-10-2023

doi Logo doi.org/10.47001/IRJIET/2023.710020

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Abstract

This study investigates the possibilities of using social media platforms to raise output and productivity in the apparel industry. Consumer behavior has a significant impact on the fashion sector, thus businesses must incorporate social media into their operations. The study looks at effective social media strategies and campaigns used by clothing companies to evaluate their effects on output and productivity. The proposal offers suggestions on how businesses use social media platforms to create brands, interact with customers, and boost sales. Large amounts of unstructured data, including user reviews, comments, and hashtags, will be collected, and analyzed via social media sites using Natural Language Processing (NLP) techniques. Topic modeling and sentiment analysis, two techniques made possible by NLP, will assist discover significant themes and customer impressions. Garment firms may improve their social media tactics and ultimately increase efficiency and output by evaluating trends and patterns in the data.

Keywords

Natural Language Processing (NLP), unstructured data, topic modeling, sentiment analysis, trends, patterns, apparel sector, social media, productivity, output, consumer behavior, and social media campaigns


Citation of this Article

Liyanage D.K., Malluwawadu K.T., Rathnayake R.M.T.P., Vitharana Y.B., Wishalya Tissera, Poorna Panduwawala, “Increasing the Productivity and Production of the Apparel Industry Using Social Media Platform” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 154-161, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710020

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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