Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
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.
Country : Sri Lanka
IRJIET, Volume 7, Issue 10, October 2023 pp. 154-161
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