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

• Published in: International research journal of innovations in engineering and technology Vol. 7; no. 10; p. 154
• Main Authors: Liyanage, D K, Malluwawadu, K T, Rathnayake R.M.T.P., Vitharana, Y B, Tissera, Wishalya, Panduwawala, Poorna
• Format: Journal Article
• Language: English
• Published: Dharmapuri IRJIET (International Research Journal of Innovations in Engineering and Technology) 01.10.2023
• Subjects: Customers; Data mining; Digital media; Natural language processing; Productivity; Sentiment analysis; Social networks; Unstructured data
• ISSN: 2581-3048
• DOI: 10.47001/IRJIET/2023.710020

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.